Evidence map›Paper›PMID 39962402›Full record

ArticleBMC infectious diseases2025

Haematological markers as predictive tools for tuberculosis in PLHIV: a retrospective cohort study in Gujarat, India.

Yogesh M, Roshni Vamja, Parth Anilbhai Parmar, Naresh Makwana, R Naveen Shyam Sundar

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yogesh MDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.
Roshni VamjaDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.
Parth Anilbhai ParmarDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India. parthparmar6036@gmail.com.
Naresh MakwanaDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.
R Naveen Shyam SundarDepartment of Community Medicine, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a significant health challenge among people living with HIV (PLHIV), underscoring the need for early diagnosis and prompt treatment. Hematological parameters have emerged as potential markers for predicting and monitoring TB disease. This study aimed to assess the utility of hematological parameters in predicting TB disease among PLHIV.

methodsThis retrospective cohort study was conducted at an Antiretroviral Therapy (ART) Centre in Gujarat, India, including PLHIV registered between January 2018 and March 2024. Hematological parameters, including hemoglobin levels, platelet counts, white blood cell differentials, and derived ratios (monocyte-lymphocyte ratio [MLR] and neutrophil-lymphocyte ratio [NLR]), were extracted from medical records. TB diagnosis was based on bacteriological confirmation or clinical criteria. Cox proportional hazards models and Kaplan-Meier survival analyses were performed to assess the association between hematological parameters and TB disease, adjusting for potential confounders.

resultsAmong 810 PLHIV, 202 (25%) had TB disease. PLHIV with TB had a higher prevalence of anemia (91.6% vs. 60.0%, p < 0.001), leucocytosis (16.3% vs. 7.6%, p = 0.0004), and neutrophilia (25.2% vs. 9.4%, p < 0.0001) compared to those without TB. A higher MLR ratio (> 0.23) was associated with an increased risk of TB (HR: 5.44, 95% CI: 3.94-7.50, p < 0.001), independent of anemia. Anemia was also an independent predictor of TB (HR: 4.37, 95% CI: 2.72-7.02, p < 0.001).

conclusionsHematological parameters, particularly MLR ratio and anemia status, showed strong associations with TB disease among PLHIV. An MLR > 0.23 was associated with a 5.44-fold increased risk of TB, while anemia increased the risk by 4.37-fold. These readily available and cost-effective markers could enhance early TB detection and risk stratification in PLHIV, especially in resource-limited settings. Integration of these parameters into existing screening protocols may improve targeted interventions and patient outcomes.

Indexed as

BiomarkersHIV InfectionsTuberculosisAdultAnemiaFemaleHemoglobinsHumansIndiaMaleMiddle AgedRetrospective StudiesBiomarkersHemoglobinsAnemiaBiomarkersHematological ParametersHIVMonocyte-to-Lymphocyte RatioTuberculosis

Identifiers

PMID39962402
PMCPMC11834239

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.