Evidence map›Paper›PMID 39180021›Full record

ArticleBMC pulmonary medicine2024

Exploring mean platelet volume and neutrophil-to-albumin ratio as surrogate markers for monitoring tuberculosis treatment: a prospective longitudinal study.

Hamrish Kumar Rajakumar, Varsha Coimbatore Sathyabal, Arulkumaran Palaniyandi, Dakshinamurthy Balakrishnan

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Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Hamrish Kumar RajakumarGovernment Medical College, Omandurar Government Estate, Chennai, India. hamrishkumar2003@gmail.com.ORCID http://orcid.org/0009-0008-9642-9915
Varsha Coimbatore SathyabalGovernment Medical College, Omandurar Government Estate, Chennai, India.ORCID http://orcid.org/0009-0009-2059-4655
Arulkumaran PalaniyandiDepartment of Respiratory Medicine, Government Medical College, Omandurar Government Estate, Chennai, India.
Dakshinamurthy BalakrishnanDepartment of Respiratory Medicine, Government Medical College, Omandurar Government Estate, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a global health challenge, with India bearing a significant burden. Despite advancements in TB diagnosis and treatment, monitoring TB treatment is challenging, particularly in resource-limited settings. This study aimed to explore the mean platelet volume (MPV) as a potential surrogate marker for monitoring TB treatment and assessing if the neutrophil-to-albumin ratio (NAR) enhances treatment monitoring.

methodsPatients diagnosed with TB following NTEP guidelines were recruited. Participants underwent routine blood tests during the six-month Anti-Tubercular therapy course at the start, end of the intensive phase, and end of the continuous phase. Statistical analyses included Spearman correlation, Friedman test, linear mixed effects (LME) models, and multiple linear regression.

results150 individuals were included for analysis. Deviations from normality were noted. Significant associations were found between CRP and sputum grade. MPV mediated between CRP and sputum grade. Significant differences were observed across the three-time points. LME models showed changes in MPV and CRP levels over time. Including NAR enhanced predictive capability.

conclusionsMPV may serve as a promising surrogate marker for monitoring ATT. Personalized approaches are crucial in TB treatment monitoring. LME models revealed MPV and CRP level trends. Future research should explore MPV's treatment response mechanisms and cost-effectiveness.

Indexed as

Antitubercular AgentsBiomarkersMean Platelet VolumeNeutrophilsAdultAlbuminsC-Reactive ProteinFemaleHumansIndiaLinear ModelsLongitudinal StudiesMaleMiddle AgedProspective StudiesSputumAlbuminsAntitubercular AgentsBiomarkersC-Reactive ProteinCost-effectivenessMean platelet volumeNeutrophil-to-albumin ratioSurrogate markersTreatment monitoringTuberculosis

Identifiers

PMID39180021
PMCPMC11344401

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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.