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Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists

October 9, 2026 · via Europe PMC

Diagnostic Performance of Common Biochemical Screening Tests for Mild Autonomous Cortisol Secretion in Adrenal Incidentalomas: A Systematic Review and Hierarchical SROC Meta-analysis.

Bueling ZC, Douri DR, Berg AH, +7 more, Khthir RA.

ReviewAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Serum dexamethasone suppression testing looked best for ruling out mild autonomous cortisol secretion, but the evidence is biased and sparse.

What was studied

Systematic review and hierarchical SROC meta-analysis of biochemical screening tests (serum and salivary DST, late-night salivary cortisol, urinary free cortisol) in adrenal incidentalomas.

Key findings

  • Twelve studies with 1,420 patients were included
  • Serum DST sensitivity 97.9% (95% CI 88.6-99.6), specificity 76.8% (64.5-85.7), negative likelihood ratio 0.03 (0.00-0.16)
  • Salivary DST sensitivity 74.9% and specificity 80.5%; late-night salivary cortisol sensitivity 62.7%; urinary free cortisol estimates highly imprecise
  • All three serum DST studies used reference definitions that incorporated DST, so no independent reference pool existed

Clinical relevance

Supports serum DST as a first-line rule-out test in incidentaloma work-up, with positives needing confirmation and clinical context.

Who should care

Endocrinology

Limitations

Incorporation bias, threshold heterogeneity, indirect comparisons and few studies prevent claims of diagnostic superiority.

Serum DST is a reasonable rule-out test, but circular reference standards mean its true accuracy is uncertain.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Objective

Mild autonomous cortisol secretion (MACS) is a biochemical phenotype in adrenal incidentalomas associated with cardiometabolic risk. Serum and salivary dexamethasone suppression testing (DST), late-night salivary cortisol (LNSC), and urinary free cortisol (UFC) are used, but interpretation is limited by nonuniform disease definitions and reference standards.

Methods

PubMed, Embase, Web of Science, and Scopus were searched through November 19, 2025, in accordance with PRISMA-DTA. QUADAS-2 assessed risk of bias. Bivariate random-effects models generated HSROC estimates and likelihood ratios, and Fagan analyses modeled post-test probabilities. Sensitivity assessments examined reference-standard dependence, diagnostic era, and threshold selection.

Results

Twelve studies comprising 1,420 patients were included. Serum DST had sensitivity of 97.9% (95% CI, 88.6-99.6), specificity of 76.8% (64.5-85.7), and a negative likelihood ratio of 0.03 (0.00-0.16). Salivary DST had sensitivity of 74.9% and specificity of 80.5%; LNSC sensitivity was 62.7%, and UFC estimates were highly imprecise. All three serum DST studies used reference definitions that incorporated DST or a related dexamethasone-suppression criterion, leaving no fully independent-reference serum DST pool. Threshold-specific data showed substantial sensitivity-specificity tradeoffs.

Conclusion

Serum DST produced the lowest pooled negative likelihood ratio against study-defined biochemical reference standards, suggesting potential rule-out value. Incorporation bias, threshold heterogeneity, indirect comparisons, and sparse study counts preclude claims of diagnostic superiority. Positive results require clinical context and confirmatory evaluation when appropriate.

DOI

10.1016/j.eprac.2026.09.121

PMID

42855136

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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