Evidence map›Paper›PMID 42614790›Full record

ArticleInternational journal of general medicine2026

Diagnostic Determinants of Thyroid Dysfunction in Southern Saudi Arabia: Identifying High-Risk Populations Through Integrated Risk Factor Analysis.

Jalal H Abu Halimah, Mohammad A Jareebi, Zakaria Y Shubayli, Mohammad Y Shubayli, Mohammad A Zaeri, Khalid A Bakri, Ahmed Y Sabi, Abdulaziz F Zaylaee, Zuhair A Almunawwar, Eyad Z Omar and 5 more

Abstract read
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Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Jalal H Abu HalimahDepartment of Surgery, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Mohammad A JareebiDepartment of Family and Community Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0002-4525-1191
Zakaria Y ShubayliFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0009-0004-5475-9191
Mohammad Y ShubayliFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Mohammad A ZaeriFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Khalid A BakriFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Ahmed Y SabiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Abdulaziz F ZaylaeeFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0009-0006-2175-1673
Zuhair A AlmunawwarFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Eyad Z OmarFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Rakan M HakamiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Abdullah A KhudierFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Abdulaziz A AqdiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Rayim A OraybiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Khalid O AlyahyawiDepartment of Surgery, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Early and accurate diagnosis of thyroid disorders remains challenging in resource-variable settings, with limited diagnostic algorithms tailored to regional populations. Understanding the constellation of risk factors for thyroid disease can enhance diagnostic accuracy and inform targeted screening strategies. Methods: We conducted a cross-sectional diagnostic study among 1,250 adults (≥18 years) in southern Saudi Arabia (May 2024) to identify diagnostic determinants of thyroid dysfunction. Participants completed structured assessments of demographic profiles, anthropometric measurements, family and medical histories, lifestyle factors, and current thyroid status. Statistical analyses included chi-square tests, Fisher's exact tests, and independent-samples t-tests to establish diagnostic associations. Results: Self-reported physician-diagnosed thyroid disorders were reported by 10% of participants, with hypothyroidism predominating (7%). Diagnostic determinants showed distinct clustering patterns: hypothyroidism demonstrated the strongest associations with female sex (OR-equivalent difference: 81% vs 41%, p < 0.001), elevated BMI (30 ± 6.6 vs 26 ± 7.7 kg/m Conclusion: This study identifies patterns of self-reported thyroid dysfunction and associated factors that may help guide future screening strategies integrating demographic, anthropometric, and clinical determinants to identify high-risk populations requiring thyroid function testing. The findings support development of risk-stratified diagnostic algorithms and may improve early detection rates in comparable settings.

Indexed as

cross-sectional studydiagnostic determinantsearly detectionhyperthyroidismhypothyroidismprevalencerisk factorsSaudi Arabiathyroid dysfunction

Identifiers

PMID42614790
PMCPMC13484887

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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.