Evidence map›Paper›PMID 40225510›Full record

ArticleCureus2025

Patterns of Quetelet Index (Body Mass Index) Improvement and Associated Clinical Factors During Initial Tuberculosis Treatment: A Prospective Analysis of Newly Diagnosed Tuberculosis Patients.

Rock B Dharmaraj, Madhan Mohan, Neethu George, Vellaiappan P Hariharan, C Brilly Swarna, Tamilarasan Muniyapillai, Neeraj V Mohandas, Vijay Anand V, Karthikeyan Kulothungan

Abstract read
In one paragraph

Article in Cureus, 2025. 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

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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

9 authors.

Rock B DharmarajCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Madhan MohanRespiratory Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Neethu GeorgeCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Vellaiappan P HariharanCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
C Brilly SwarnaCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Tamilarasan MuniyapillaiCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Neeraj V MohandasCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Vijay Anand VCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.
Karthikeyan KulothunganCommunity Medicine, Dhanalakshmi Srinivasan Medical College and Hospital, Perambalur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Tuberculosis (TB) and malnutrition form a detrimental synergistic relationship, with malnutrition weakening the immune system and increasing susceptibility to TB, while TB, in turn, worsens the nutritional status through increased metabolic demands and decreased appetite. The nutritional recovery is expected during treatment, but the extent and rate of improvement may vary based on patient characteristics, disease severity, and presence of comorbidities. This study aimed to assess the nutritional status changes in newly diagnosed TB patients by evaluating and comparing their body mass index (BMI) at treatment initiation and after the completion of intensive phase (two months) while also analysing the influence of various factors (age, gender, bacterial load, drug sensitivity, and comorbidities) on BMI variations during this period. Methods A prospective longitudinal study was conducted among 116 newly diagnosed pulmonary TB patients at a tertiary medical college hospital in Tamil Nadu between August and October 2021. Baseline assessments included demographic data, sputum microscopy for bacterial load, drug sensitivity testing via the Cartridge-Based Nucleic Acid Amplification Test (CBNAAT)/TrueNat, and screening for diabetes mellitus and chronic kidney disease (CKD). Anthropometric measurements (weight and BMI) were recorded at treatment initiation and after the completion of a two-month intensive phase treatment using standardized protocols. Data analysis was performed using IBM SPSS Statistics for Windows, V. 23.0 (IBM Corp., Armonk, NY, USA), with descriptive statistics for demographic and clinical characteristics, comparative analyses using independent t-test and one-way ANOVA for subgroup BMI improvements, and McNemar's test and paired t-test for assessing changes in BMI from baseline to post-two-month treatment (p < 0.05 considered significant). Results Among 116 pulmonary TB patients, mean (SD) BMI significantly increased from 16.17 (4.15) to 16.96 (4.01) kg/m² during the intensive phase treatment (p < 0.001). Of 89 initially malnourished patients, 9% achieved normal BMI status. Younger patients (<30 years) showed higher BMI improvement (1.12 ± 0.51 kg/m²) compared to the elderly (>70 years: 0.56 ± 0.49 kg/m²). Lower BMI improvements were observed in rifampicin-resistant cases (0.48 ± 0.22 vs 0.80 ± 0.50 kg/m²) and patients with comorbidities (diabetes: 0.74 ± 0.53 vs 0.85 ± 0.46 kg/m²; CKD: 0.65 ± 0.51 vs 0.83 ± 0.49 kg/m²), though these differences were not statistically significant. Conclusion Significant improvements in nutritional status were observed during the intensive phase treatment, with younger age associated with better BMI gains. Though not statistically significant, drug resistance and the presence of comorbidities appeared to negatively influence nutritional recovery, suggesting the need for enhanced nutritional monitoring and support in these vulnerable subgroups.

Indexed as

anthropometrybody mass indexnewly diagnosed tuberculosisquetelet indextuberculosis

Identifiers

PMID40225510
PMCPMC11990739

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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.