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Global patterns and clinical outcomes of endocrine gland involvement in tuberculosis: A comprehensive mini-review

2025· article· en· W4412539347 on OpenAlexaboutno aff
Ashraf Soliman, Fawzia Alyafei, Manasik Hassan, Hibaq Jama, Nada Alaaraj, Shayma M. Ahmed, Noor Hamed, Nada Soliman, Ahmed Khalil

Bibliographic record

VenueGSC Advanced Research and Reviews · 2025
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and treatment of tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsTuberculosisEndocrine systemEndocrine glandMedicinePathologyInternal medicineHormone

Abstract

fetched live from OpenAlex

Background: Tuberculosis (TB) remains a significant global health challenge, particularly in low- and middle-income countries where extrapulmonary forms—including endocrine gland involvement—often go unrecognized. Endocrine tuberculosis (ETB) can affect the adrenal, pituitary, thyroid, and gonadal glands, typically presenting with nonspecific symptoms that mimic tumors or autoimmune disorders. Emerging literature highlights the importance of timely diagnosis and treatment in preserving endocrine function. Objective: To summarize the global prevalence, clinical features, pathophysiological mechanisms, therapeutic response, and hormonal outcomes of tuberculosis involving major endocrine glands, based on validated research published between 2000 and 2025. Methods: A structured narrative mini review was conducted following PRISMA principles. Systematic literature searches were performed in PubMed, Scopus, and Google Scholar using combinations of keywords and Mesh terms related to “tuberculosis,” “endocrine,” “adrenal,” “pituitary,” “thyroid,” and “gonads.” Eligible articles included original peer-reviewed studies, reviews, and case series (n ≥ 3) published between 2000 and 2025 in English. Studies were selected if they reported endocrine TB involvement with clinical manifestations, hormonal effects, therapeutic interventions, and outcomes. From 164 screened abstracts, 72 full-text articles were reviewed, and 45 high-quality studies (Newcastle-Ottawa score ≥6) were included. Data were organized by glandular site, clinical effect, treatment modality, and reversibility. Results: Adrenal TB was the most frequently reported (42%), typically presenting as primary adrenal insufficiency. Biochemical recovery was observed in 80–90% of patients treated early with anti-tuberculous therapy (ATT), while irreversible cases required lifelong steroid therapy. Pituitary TB (29%) frequently mimicked seller tumors, leading to panhypopituitarism or diabetes insipidus; hormonal improvement was noted in 60–75% of early-treated cases. Thyroid TB (17%) often resembled malignancy or multinodular goiter; surgical excision with ATT led to functional restoration in most cases. Gonadal involvement (12%) presented as pubertal delay or hypogonadism, primarily secondary to hypothalamic-pituitary axis disruption, with pediatric patients demonstrating good recovery following therapy. Pathophysiological mechanisms included hematogenous dissemination, granulomatous inflammation, and immune reconstitution inflammatory syndrome (IRIS), particularly in immunocompromised hosts. Prognosis correlated strongly with diagnostic timing, degree of tissue necrosis, and comorbidities such as HIV. The most severe presentations were noted in sub-Saharan Africa and South Asia, reflecting healthcare disparities and delayed diagnosis. Conclusions: Although often underdiagnosed, endocrine tuberculosis has substantial clinical implications. Adrenal and pituitary glands are most commonly involved. With early detection and appropriate therapy, most endocrine dysfunctions are reversible. Enhanced awareness, interdisciplinary care, and long-term follow-up are vital for improving outcomes, especially in TB-endemic regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0140.012
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.104
GPT teacher head0.482
Teacher spread0.378 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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