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The Journal of Clinical Endocrinology & Metabolism Vol. 82, No. 11 3625-3632
Copyright © 1997 by The Endocrine Society


Original Studies

Management of Incidental Pituitary Microadenomas: A Cost-Effectiveness Analysis1

Joseph T. King, Jr., Amy C. Justice and David C. Aron

Sections of Neurosurgery (J.T.K.), General Internal Medicine (A.C.J.), and Endocrinology (D.C.A.), Department of Veterans Affairs Medical Center; and the Department of Neurosurgery (J.T.K.); the Program in Health Care Research (J.T.K., A.C.J., D.C.A.); the Division of General Internal Medicine, Department of Medicine (A.C.J., D.C.A.); the Division of Clinical and Molecular Endocrinology, Department of Medicine (D.C.A.), Case Western Reserve University and University Hospitals, Cleveland, Ohio 44106
Decision analysis: A systematic and quantitative approach to decision making under conditions of uncertainty. The probabilities of each possible event and the consequences of those events, given various conditions and assumptions, are stated explicitly. A mathematical model of a problem and its possible treatments, incorporating options, probabilities, and outcomes, is used to calculate the "best" decision. "Best" is determined based on expected values, the calculated average outcomes from the branches of the decision tree.
Decision tree: A flow chart of a decision and its probabilistic consequences. The initial choice and outcomes are graphically represented in branches of the tree. These branching points are either chance nodes that have biologically determined outcomes or decision nodes (usually only one) in which the outcomes are decided by choice of the physician or patient.
Discount rate: The rate used to compute the present value of a clinical or monetary events that occur in the future (typically 5ü.
Health-related quality of life: As a construct, health-related quality of life (HRQOL) refers to the impact of the health aspects of an individual’s life on that person’s quality of life or overall well-being; also used to refer to the value of a health state to an individual.
Incremental cost: The cost of one alternative minus the cost of another.
Incremental QALY: The number of QALY of one alternative minus the number of QUALY of another.
Incremental cost/QALY: The cost of one alternative minus the cost of another for one additional QALY.
Incremental cost-effectiveness (ratio): The ratio of the difference in costs between two alternatives to the difference in effectiveness between the same two alternatives.
Marginal benefit: The added benefit generated by the next unit consumed.
Marginal cost: The added cost of producing one additional unit of output.
Markov model: A type of mathematical model containing a finite number of mutually exclusive and exhaustive health states. During each time period of uniform length, patients can move from one state to another based on probability rules.
Present value: The value to the decision maker now of outcomes occurring in the future. In economic evaluations (present value analysis), future costs and benefits are expressed in current dollars. Future costs and benefits are multiplied by a discount factor to convert them to current dollars. QALYs: A measure of health outcome that assigns to each year a weight, ranging from 0–1, corresponding to the quality of life during that year. By convention, perfect health is assigned a value of 1.0, and death is assigned a value of 0.0. Total QALYs are obtained by adding the product of the quality of life value and the number of years in that state (e.g. quality of life value = 0.7, yr = 10, QALYs = 0.7 x 10 = 7.0). %Sensitivity analysis: A method to assess the effects of key assumptions or values on the final result of a mathematical model. The assumptions are varied over a range of values to determine their effects on the result, i.e. a test of the stability of the conclusions of an analysis over a range of probability estimates, value judgments, and structural assumptions. Large differences in effects indicate that the analysis is "sensitive" to the assumption. One-way sensitivity analysis varies one variable at a time. Two-way sensitivity analysis varies two at a time, etc.
Time horizon: The period of time for which costs and effects are measured in a cost-effectiveness analysis.
These definitions were derived and modified from Refs. 73 and 74.

Address all correspondence and requests for reprints to: David C. Aron, M.D., M.S., Medical Service 111(W), Department of Veterans Affairs Medical Center, 10701 East Boulevard, Cleveland, Ohio 44106. E-mail: aron.david{at}cleveland.va.gov


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 
The objective of this study was to compare the cost-effectiveness of four management strategies for a patient with an incidentally discovered asymptomatic pituitary microadenoma.

A decision analytic Markov model was used to determine the incremental cost-effectiveness of four clinical management strategies: 1) expectant management, 2) PRL screening, 3) an endocrine screening panel (PRL, insulin-like growth factor I, and 1-mg dexamethasone suppression test), and 4) magnetic resonance imaging (MRI) follow-up. The model incorporated the natural history of incidental microadenomas, test characteristics, pharmacological and surgical treatment outcomes, patient’s quality of life, discounting, and the costs of hormone testing, bromocriptine, MRIs, hospitalization for surgery, and physician services.

PRL screening, endocrine screening panel, and MRI follow-up all provided slightly greater quality-adjusted survival than expectant management, but the costs increased disproportionately more than the benefits. The incremental cost per quality-adjusted life year for PRL screening is $1,428, and that for the endocrine screening panel is $69,495. These results are most sensitive to patient anxiety about the microadenoma; increased anxiety shifts the recommended strategy to the endocrine screening panel.

We conclude that in patients with an incidental asymptomatic pituitary microadenoma, a single PRL test may be the most cost-effective management strategy.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 
WITH THE proliferation of computed tomography (CT) and magnetic resonance imaging (MRI) of the head, clinicians increasingly encounter incidental findings consistent with the diagnosis of a pituitary microadenoma (i.e. a pituitary tumor <10 mm in diameter) (1). The prevalence of pituitary microadenomas at autopsy, based on studies involving a total of 10,370 cases is 11% (2, 3, 4, 5), and many of these incidental lesions exhibit immunohistochemical staining for hormones, most commonly PRL (2, 3, 4, 5, 6). High resolution MRI used to screen normal volunteers shows a 10% prevalence of pituitary lesions (7). Although the sensitivity of head CT and MRI for detection of incidental microadenomas has not been established, these data suggest that as many as 10% of patients undergoing these procedures for unrelated reasons will have a pituitary microadenoma discovered incidentally, and that many of these tumors have the capacity to synthesize hormones. The diagnosis of a hormone-secreting pituitary tumor is of concern because of associated morbidity and premature mortality (8, 9).

Current recommendations for the management of incidental microadenomas are controversial. Some authorities recommend extensive routine biochemical screening to diagnose hormonally active lesions secreting PRL, GH, ACTH, and the glycopeptide hormones (TSH, LH, and FSH) (2, 10, 11). Some also recommend follow-up serial MRI scans to detect microadenoma growth (2). The limited available data suggest that clinical practice varies widely. When surveyed about their management of a hypothetical 25-yr-old woman with a 5-mm incidental pituitary mass, normal menses, no galactorrhea, and no symptoms except headaches, Cleveland metropolitan area endocrinologists recommended a mean of 3.5 hormone tests (range, 0–9) (8).

To determine the cost-effectiveness of various strategies, we developed a decision analytical model based on a review of the endocrinology literature. Our approach was guided by the following questions. 1) Does an incidental microadenoma put the patient at increased risk for an adverse outcome? 2) Can individuals with treatable syndromes be accurately diagnosed? 3) Is the treatment of these syndromes more effective in presymptomatic patients? 4) Do the beneficial effects of presymptomatic detection and treatment of these patients justify the costs incurred?


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 
Risk of adverse outcomes

A patient with an incidental pituitary microadenoma is susceptible to three types of adverse outcomes: 1) mortality; 2) endocrinological or neurological morbidity; or 3) anxiety from knowing about a tumor that might cause problems in the future. Symptomatic pituitary tumors are quite rare; epidemiologic studies show a prevalence of 0.00020 and an incidence of 0.00002 (Table 1Go) (12, 13, 14). Fewer than 50% of these diagnosed cases were microadenomas. Screening studies show that prolactinomas, the most common hormone-secreting tumors of the pituitary, have a prevalence of less than 0.0005 (15, 16, 17). (Note that not all prolactinomas are symptomatic.) Acromegaly and Cushing’s disease are less common, with prevalences of 0.00007 and 0.00004, respectively (17, 18, 19, 20). The prevalence of pituitary tumors that secrete TSH, LH, or FSH are even lower (21, 22, 23, 24). Nonsecreting pituitary lesions, such as primary pituitary tumors, sarcoidosis, and metastases, do not cause excess morbidity or mortality unless one or more of the following is present: pituitary hormone deficiency, hyperprolactinemia due to pituitary disinhibition, or neurological changes from mass effects such as visual field defects. Consequently, these lesions do not lend themselves to hormonal screening. They are included in the model only to the extent that that further evaluation would follow the identification of such clinical manifestations.


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Table 1. Estimates used in baseline calculations

 
It is possible to calculate an outer boundary for the increased risk of an adverse outcome associated with an incidental microadenoma. Assuming that 1) all pituitary tumors that become symptomatic arise from such a microadenoma, 2) pituitary tumors have a combined prevalence less than 0.0005, and 3) 1 in 10 unselected MRI scans will be positive for a microadenoma, then the increased risk of a microadenoma patient becoming symptomatic cannot exceed 0.005, and the vast majority of these symptomatic tumors would be prolactinomas. Nevertheless, there is risk of morbidity and mortality in the 0.5% of patients with an incidental pituitary mass who develop hormone-secreting pituitary tumors, suggesting the benefit of presymptomatic diagnosis (8, 9). The ability to accurately identify this 0.5% of patients becomes critical to the effectiveness of any potential medical intervention. Among the factors that determine the risk is the natural history of these lesions.

Studies of the natural history of incidentally discovered pituitary microadenomas are limited. Reincke et al. followed 7 microadenoma patients with normal endocrine function for up to 8 yr. Only 1 showed an increase in tumor size (from 5 to 9 mm), 1 patient showed regression in tumor size from 8 to 4 mm, and 5 patients remained stable (25). Donovan and Corenblum followed 15 endocrinologically normal microadenoma patients for a mean of 6.7 yr. One tumor progressed in size (from 4 to 5 mm), and regression in lesion size was seen in 6 patients (26). The authors of both of these studies and others have recommended observation for microadenomas in concert with hormonal screening (11, 25, 26).

Accuracy of diagnosis

Approaches to the clinical and biochemical diagnosis of hormone-secreting pituitary tumors are well established, but suffer from shortcomings in test sensitivity and specificity (27). The diagnosis of prolactinoma has rested primarily on basal PRL levels and neuroradiological studies for the identification of a sellar mass. Although basal PRL levels above 200 µg/L are virtually diagnostic of a macroprolactinoma, microprolactinomas are often associated with lower PRL levels (28, 29). Moreover, the differential diagnosis of nonphysiological hyperprolactinemia is extensive, and test specificity falls as the diagnostic cut-off point is decreased (30).

The biochemical diagnosis of acromegaly rests on measurements of GH and somatomedin C [insulin-like growth factor I (IGF-I)] (31, 32). Single measurements of GH are not entirely reliable, because GH secretion is episodic and increased GH levels can be observed in other conditions (33). Dynamic testing for GH response to oral glucose administration is more specific, as is a single measurement of IGF-I (33, 34). However, these studies involved only patients with clinically apparent disease. Test characteristics in patients with subclinical disease are unknown, but are likely to be less accurate due to spectrum bias (30, 35).

The clinical diagnosis of Cushing’s syndrome, or persistent inappropriate hypercortisolism, may be difficult (36). Endogenous hypercortisolism is demonstrated by the presence of abnormal cortisol suppressibility with low dose dexamethasone or by increased cortisol secretion as reflected in basal 24-h urinary free cortisol measurements. Both tests have excellent sensitivity, but serious problems with specificity, especially with the low dose dexamethasone suppression test (36). Moreover, the test is likely to be less sensitive in patients lacking classic manifestations of the disease. The relative rarity of clinically diagnosed glycopeptide-producing pituitary tumors makes it difficult to generalize about screening test characteristics.

The high frequency of incidental microadenomas has complicated the radiological evaluation of the pituitary (37, 38, 39). Findings on sella tomograms have been shown to bear little relation to findings at autopsy or surgery (39, 40). The lack of specificity of computed tomographic scanning has also been demonstrated (41, 42). Magnetic resonance imaging has been shown to have superior sensitivity compared with CT in patients with biochemically diagnosed hormone-secreting pituitary tumors (43, 44). Magnetic resonance imaging has approximately 90% sensitivity and a similar specificity for pituitary tumors in patients with most syndromes of pituitary hormone excess; the sensitivity for ACTH-secreting pituitary adenomas is, at best, 60–75% (45). A recent report of 100 healthy volunteers using high resolution MRI scanning found a 10% prevalence of focal pituitary abnormalities (7). Moreover, closer examination of the data indicated that findings in postgadolinium films were interpreted to be indicative of pituitary micoadenoma by at least one of the three radiologists in 34 of 70 women (48.6%) and 8 of 30 men (26.7%). Similar findings have been reported in another small series (46). In the absence of studies correlating MRI and histopathological findings, one cannot be certain that the MRI lesions represent microadenomas. Thus, only inferences about their natural history can be drawn.

Effectiveness of treatment

Treatment for pituitary microadenomas depends upon the endocrinological activity of the tumor (8). Prolactinomas are usually treated initially with bromocriptine, which reduces PRL secretion and tumor volume. Bromocriptine effectively treats endocrinological or neurological symptoms in 90% of patients with symptomatic prolactinomas (11). The effects of bromocriptine on patients with asymptomatic prolactinomas are unknown.

Patients who evidence microadenoma growth by neuroimaging or who develop endocrinological or neurological symptoms refractory to bromocriptine are candidates for surgery. The transsphenoidal route is the surgical approach of choice to pituitary microadenomas (8). Morbidity, mortality, and cure rates from transsphenoidal surgery for pituitary adenomas vary with the underlying endocrinopathy or neurological symptoms (Table 1Go) (47, 48). External beam radiation and stereotaxic radiosurgery have been used for recurrent or inoperable tumors, but are considered second line therapies in patients with microadenomas (49). Little is known about whether presymptomatic treatment for patients with biochemical endocrinopathies is beneficial.

Cost-effectiveness of the evaluation and treatment of incidental pituitary microadenomas

We used cost-effectiveness analysis to compare four strategies for the management of an asymptomatic patient with an incidental pituitary microadenoma: 1) expectant management, 2) PRL screening, 3) a panel of hormone screening tests (PRL, IGF-I, and 1 mg dexamethasone suppression of cortisol), and 4) follow-up MRI screening. A schematic diagram of our decision tree is shown in Fig. 1Go. (A technical report with the complete decision tree is available to interested readers.)



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Figure 1. Simplified diagram of the decision tree. Chance nodes that have biologically determined outcomes are represented by circles. The decision node, the branch point for choice of strategies, is represented by a square. In this simplified schematic, triangles represent the outcomes of the branches, e.g. the outcomes of surgery are cure, survival with disability, or death.

 
Expectant management. Patients do not undergo further radiographic or endocrinological studies unless they develop endocrinological or neurological symptoms in the future.

PRL screening. Patients undergo only a single PRL screening, and hyperprolactinemia confirmed by a repeat test is treated with bromocriptine. Those in whom bromocriptine is not effective are followed and undergo surgery if they become symptomatic. Patients with normal screening PRL assays undergo no further testing or treatment unless they develop endocrinological or neurological symptoms in the future.

Endocrine panel. Patients are screened for abnormal levels of PRL, IGF-I, and cortisol after 1 mg dexamethasone administration. Similar to the PRL screening scenario, confirmed hyperprolactinemia is initially treated with bromocriptine; those in whom bromocriptine is ineffective are followed and undergo surgery if they become symptomatic. Confirmed elevations in either cortisol (using 24-h urinary free cortisol and plasma ACTH) or GH (via repeat IGF-I) result in surgery. Patients with normal screening PRL, IGF-I, and 1 mg dexamethasone suppression tests undergo no further testing or treatment unless they develop endocrinological or neurological symptoms in the future.

MRI follow-up. Enlargement of the incidental pituitary microadenoma on follow-up MRI scans at 6 and 12 months precipitates hormone screening and subsequent pharmacological or surgical treatment. Patients with enlarging tumors undergo endocrine testing. Enlarging PRL-secreting tumors are initially treated with bromocriptine. Patients with enlarging tumors that do not secrete PRL or that fail to respond to bromocriptine treatment undergo surgery. If MRI scans performed at 6 and 12 months show no evidence of growth, no further workup is performed unless the patient develops endocrinological or neurological symptoms in the future.

Quality of life values were assigned to each of the health states in our model (Table 1Go) (50, 51, 52, 53). The clinical effectiveness of each management strategy was expressed in quality-adjusted life years (QALYs). A societal perspective was used to estimate the direct medical costs (e.g. drugs, tests, hospitalizations, physician fees, etc.) associated with each strategy. Costs, expressed in 1995 U.S. dollars, were estimated using Medicare diagnostic related groups, Medicare physician fee schedules, and the Drug Topics Red Book (Table 2Go) (54, 55, 56). Indirect costs, i.e. earnings lost as a result of disability or death, were not included in the analysis. We defined the incremental cost-effectiveness of the various strategies as the net change in costs divided by the net change in clinical effectiveness associated with each scenario. Because many of the costs and benefits in our model accrue in the future, we used a 10-yr time horizon and a 5% discount rate to estimate their present values (57, 58, 59, 60). The incremental cost-effectiveness was calculated using Markov modeling techniques (61, 62) and commercially available software (data version 3.0.4, TreeAge Software, Boston, MA). Baseline assumptions of the model were tested in one- and two-way sensitivity analyses by altering the input values of variables and observing the impact on the model’s conclusions.


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Table 2. Direct costs of incidental microadenoma management

 

    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 
The incremental effectiveness between the strategies was small, with only 0.029 QALYs separating the most effective strategy (the panel of hormone screening tests) from the least effective strategy (expectant management; Table 3Go). This slight difference results from the interplay of patient anxiety from their incidental pituitary microadenoma, low positive rates of screening tests, low incidence of endocrinological and neurological disease, and effective treatments with low morbidity and mortality. The incremental costs ranged from $34 for PRL screening relative to the least costly expectant management strategy, to $1549 for MRI follow-up relative to the endocrine panel strategy (Table 3Go). The cost variation derives primarily from the large difference in cost between hormone testing and MRI scanning.


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Table 3. Cost effectiveness of incidental pituitary microadenoma management scenarios

 
Expectant management is both the least clinically effective and the least costly strategy, allowing calculation of incremental cost-effectiveness ratios for the remaining strategies (Table 3Go). Compared to expectant management, the marginal cost per QALY of PRL screening is $1,428. The additional QALY benefit provided by extending PRL screening to include tests for acromegaly and Cushing’s syndrome has a marginal cost per QALY of $69,495. MRI follow-up is both less effective and more expensive than either hormone testing strategy, and thus by definition is dominated by these strategies. Considered another way and not making adjustments for quality of life, evaluation of a hypothetical cohort of 10,000 patients at 10 yr would result in 99.92 deaths with the expectant management strategy, 99.72 deaths with the PRL strategy, 99.84 deaths with the endocrine panel strategy, and 99.74 deaths with the MRI follow-up strategy.

Sensitivity analyses were performed with the ranges of values listed in Table 1Go. One-way sensitivity analyses showed that our results were highly dependent on patient anxiety (Fig. 2Go) and relatively unaffected by time horizon, disease prevalence, surgical outcomes, or MRI or laboratory costs. The results were also moderately sensitive to the diagnostic test characteristics in asymptomatic patients. Two-way and multianalyses showed similar results for disease prevalence and surgical outcomes. Our baseline assumption is a 1% decrease in quality of life from perfect health, i.e. a value of 1.0' due to anxiety in patients who know that they harbor a microadenoma (i.e. quality of life value = 0.99; see Table 1Go). PRL screening is the only cost-effective strategy in these individuals. Figure 2Go shows that the cost-effectiveness of each of the strategies increases as patient anxiety increases. At a quality of life value of 0.98, the endocrine panel meets the $50,000/QALY threshold. At a quality of life value of 0.97, the MRI follow-up strategy meets the $50,000/QALY threshold. However, at all levels, the endocrine panel was most effective, i.e. resulted in the most QALYs.



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Figure 2. Sensitivity analysis (one-way) of the quality of life value for having an asymptomatic microadenoma. Three strategies (PRL, endocrine panel, and MRI follow-up) are compared to the strategy of expectant management. The endocrine panel is also plotted relative to the PRL strategy. A value of $50,000/QALY has been proposed as a threshold to determine if an intervention is cost-effective. At a quality of life value for anxiety about having an asymptomatic microadenoma of 0.99, only the PRL strategy meets the $50,000/QALY threshold. At a quality of life value of 0.98, the endocrine panel also meets the $50,000/QALY threshold. At a quality of life value of 0.97, all three strategies, including MRI follow-up strategy, meet the $50,000/QALY threshold.

 
Our baseline assumption was a 10-fold increase in the prevalence of endocrine disease in this incidental microadenoma population, which biased the analysis in favor of endocrine or MRI screening. Altering this assumption by an order of magnitude in either direction had no effect on the results; the best strategy was still measurement of serum RPL. With any management strategy, few individuals ever undergo surgery. Thus, variation in surgical outcomes had virtually no impact on the relative cost-effectiveness of the strategies. Our results were also relatively insensitive to the cost of endocrinological testing or MRI scanning. Even when the laboratory costs were halved or doubled, only a single PRL test was a cost-effective management strategy. In all cases, MRI follow-up was dominated by the endocrine testing strategies, i.e. neuroimaging is both less effective and more expensive.


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 
Effective screening requires that those with disease are helped and that those without disease are not harmed (63). Although the optimal strategy for hormonal screening of a patient with an incidentally discovered pituitary microadenoma is unknown, cost-effectiveness analysis suggests that a screening serum PRL level may be the most appropriate management strategy.

In the sensitivity analyses this recommendation is quite stable, even when most model input values are altered within reasonable ranges. The exception is patient anxiety; the recommendation of a single screening PRL level is predicated upon slight patient anxiety concerning the microadenoma. By comparison, rules of thumb attribute a quality of life value of 0.98–0.995 for moderate health problems (64). In a study of patients with the diagnosis of testicular cancer who were disease free for less than 2 yr, the quality of life value determined by the time trade-off method was found to be 0.95 after orchidectomy and 0.97 after chemotherapy (65). Similarly, a value of 0.95 was suggested as quality of life value for a patient with an asymptomatic unruptured intracranial aneurysm (66). These data suggest that our choice of a value of 0.99 for the baseline case is not unreasonable. The majority of the QALY benefit from the testing strategies compared to expectant management is from anxiety reduction. Most patients who undergo endocrine or radiological screening will have negative test results, which provides reassurance and improves quality of life. In the expectant management strategy, only the "tincture of time" provides this anxiety relief. Thus, if a patient has no anxiety, there is no reassurance from a negative screening test, and expectant management is the preferred strategy. As patient anxiety increases, the negative test results from the active screening strategies become increasingly beneficial, and the endocrine panel becomes a cost-effective strategy. Physician framing can significantly influence patient attitudes toward disease and treatment (67, 68, 69, 70). Physicians must take care not to create inappropriate anxiety in patients by overemphasizing the importance of an incidental finding unless it is associated with an established clinical risk. We suggest that if there is no increased risk, this should be conveyed to the patient by their physician, which should alleviate anxiety. If there is a small amount of risk, there is reason for the patient to feel a small amount of anxiety. At the same time physicians must recognize the uncertainty that results from the limitations of the available data; the absence of evidence of an outcome is not the same as evidence of the absence of that outcome.

Our review of the endocrinological literature suggests that patients with an incidental microadenoma have a slightly increased risk of morbidity and mortality, which implies a benefit of early diagnosis. Unfortunately, our ability to identify the approximately 0.5% of incidental microadenoma patients at increased risk for endocrine or neurological dysfunction is poor. As a result, many patients are subjected to unnecessary testing and treatment, which carry their own set of risks. Black and Welch have addressed the advances in diagnostic imaging and overestimation of disease prevalence and the benefits of therapy (71). The identification of an incidental pituitary microadenoma prompts endocrinologists to perform multiple hormonal screening tests (8). However, extensive testing is expensive and may result in further expense and harm. As false positive results are pursued, a cascade effect is produced, in which a "chain of events tends to proceed with increasing momentum, so that the further it progresses the more difficult it is to stop" (72).

A patient with an incidental microadenoma has a slightly increased risk of morbidity and mortality, primarily from the complications of a prolactinoma. These patients should undergo a single PRL screening test. This test will be normal in most cases. A normal screening PRL test can effectively reassure both physician and patient that subclinical disease is not present. Reassurance is not a trivial benefit; the sensitivity analysis demonstrates the importance of patient anxiety in determining the optimal management of an incidental microadenoma. Abnormal PRL screening tests should be confirmed, and the appropriate pharmacological or surgical treatment initiated. Because of the extremely low prevalence of other endocrinopathies, further screening in patients with normal PRL levels confers minimal benefit and is not cost-effective. MRI follow-up is quite expensive and in asymptomatic microadenoma patients provides no better clinical results than hormone screening. Both prudence and the results of our cost-effectiveness analysis suggest that a single PRL test, repeated only if the initial test is abnormal, may be the most appropriate approach to the incidental pituitary microadenoma.


    Glossary
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 
Cost-effectiveness analysis: Comparison of management strategies in terms of their cost per unit of output, where output is an outcome such as additional years of life, quality-adjusted life years, or additional cases of newly detected disease. Costs and effects of at least two strategies are calculated and presented in a ratio of incremental cost to incremental effect. In contrast, in a cost-benefit analysis, both costs and outcomes (benefits) are measured in dollars. Cost-effectiveness ratio: The cost of obtaining an additional unit of health effect (e.g. dollars/yr of life saved or dollars/QALY) from a given intervention compared with an alternative.


    Footnotes
 
1 Presented in part at the International Congress of Endocrinology, San Francisco, CA, 1996. Back

Received April 25, 1997.

Revised July 9, 1997.

Accepted July 17, 1997.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 Glossary
 References
 

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