Evidence map›Paper›PMID 41608196›Full record

ArticleJournal of the Endocrine Society2026

CAI Score for the Diagnosis of Central Adrenal Insufficiency.

Mussa H Almalki, Emre Sedar Saygili, Nouf Aboalsamh, Abdulmohsen Alghassab, Yossef Alshammari, Fatimah Alali, Saleh Alghufaili, Halimah Alshehri, Awad Alshahrani, Yasir S Elhassan

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mussa H AlmalkiObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.ORCID https://orcid.org/0000-0003-4068-5465
Emre Sedar SaygiliDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale 17020, Turkey.ORCID https://orcid.org/0000-0003-0022-5704
Nouf AboalsamhObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.
Abdulmohsen AlghassabObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.
Yossef AlshammariObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.
Fatimah AlaliObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.
Saleh AlghufailiObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.
Halimah AlshehriObesity, Endocrine, and Metabolism Centre, King Fahad Medical City, Second Health Cluster, Riyadh 11525, Saudi Arabia.
Awad AlshahraniDepartment of Medicine, Specialized Medical Centre Hospital, Riyadh 12746, Saudi Arabia.
Yasir S ElhassanDepartment of Endocrinology, Medical Specialties Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi 112412, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosing central adrenal insufficiency (CAI) is challenging in patients with inconclusive morning cortisol (4-18 µg/dL). Dynamic tests like the short Synacthen test (SST) are imperfect, necessitating reliable tools to stratify CAI risk and reduce diagnostic delays. Objective: To develop and validate a predictive scoring system integrating clinical, biochemical, and imaging variables for CAI diagnosis in patients with indeterminate morning cortisol levels. Methods: This is a retrospective study of 341 adults with suspected CAI and indeterminate morning cortisol. CAI was confirmed via SST (peak cortisol <18 µg/dL). Multivariate analysis identified key predictors for the CAI score, including morning cortisol, pituitary hormone deficits, tumor size, and treatment history. A machine learning model was also developed to enhance the prediction accuracy. Results: Lower morning cortisol (6.27 vs 10.29 µg/dL, Conclusion: The CAI score improves diagnostic accuracy in ambiguous cases of suspected CAI by integrating morning serum cortisol with key clinical parameters. As morning serum cortisol and SST have limitations in CAI, the CAI score may act as a supportive rather than a standalone tool in the evaluation of patients for CAI.

Indexed as

CAI scorecentral adrenal insufficiencycortisoldiagnostic accuracypituitary deficits

Identifiers

PMID41608196
PMCPMC12838520

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.