Evidence map›Paper›PMID 26735532›Full record

Observational studyMedicine2016

Association of Body Mass Index With Tuberculosis Mortality: A Population-Based Follow-Up Study.

Yung-Feng Yen, Pei-Hung Chuang, Muh-Yong Yen, Shu-Yi Lin, Peing Chuang, Mei-Jen Yuan, Bo-Lung Ho, Pesus Chou, Chung-Yeh Deng

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Doxycycline host-directed therapy in human pulmonary tuberculosis.The Journal of clinical investigation · 2021
    Trial
  4. Review
  5. Article
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  9. Article
  10. Review
  11. Review
  12. Article
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  17. Tuberculosis Chest X-Ray Image Retrieval System Using Deep Learning Based Biomarker Predictions.Proceedings of SPIE--the International Society for Optical Engineering · 2024
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

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.

Yung-Feng YenFrom the Section of Infectious Diseases, Taipei City Hospital, Taipei City Government (YY); School of Medicine, National Yang-Ming University (YY); Center for Prevention and Treatment of Occupational Injury and Diseases, Taipei Veterans General Hospital (PC); Division of Clinical Toxicology and Occupational Medicine, Department of Medicine, Taipei Veterans General Hospital (PC); Department of Disease Control and Prevention, Taipei City Hospital, Taipei City Government (MY, PC, MY); Department of Education and Research, Taipei City Hospital (SL); Department of Chest Medicine, Taipei City Hospital, Taipei City Government (BH); Community Medicine Research Center and Institute of Public Health, National Yang-Ming University (PC); and Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan (CD).
Pei-Hung Chuang
Muh-Yong Yen
Shu-Yi Lin
Peing Chuang
Mei-Jen Yuan
Bo-Lung Ho
Pesus Chou
Chung-Yeh Deng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence regarding the association between body mass index (BMI) and mortality in TB patients is limited and inconsistent. We investigated the effect of BMI on TB-specific and non-TB-specific mortality in TB patients. All adult Taiwanese with TB in Taipei, Taiwan, during 2011 to 2012 were included in this retrospective cohort study. Multinomial logistic regression was used to evaluate associations of BMI with cause of death in TB patients. Of the 1608 eligible patients, 83.6% (1345) were successfully treated, 3.3% (53) died of TB-specific causes, and 13.1% (210) died of non-TB-specific causes. Mean age was 64.6 years, and 67.5% of patients were male. After controlling for potential confounders, underweight was significantly associated with higher risks of all-cause mortality (adjusted odds ratio [AOR], 1.66; 95% confidence interval [CI], 1.21-2.30), TB-specific mortality (AOR, 2.14; 95% CI, 1.18-3.89), and non-TB-specific mortality (AOR, 1.58; 95% CI, 1.11-2.25) during TB treatment, while overweight was not. When gender differences on the association of BMI with mortality were considered, underweight only significantly increased risks of TB-specific (AOR, 2.37; 95% CI, 1.19-4.72) and non-TB-specific mortality (AOR, 1.58; 95% CI, 1.05-2.37) during treatment in male patients, but not female subjects.T he present findings indicate that underweight was associated with higher risks of TB-specific and non-TB-specific mortality during TB treatment, particularly in male patients.

Indexed as

Body Mass IndexAdolescentAdultAgedAged, 80 and overAge FactorsAntitubercular AgentsComorbidityFemaleHumansMaleMiddle AgedOdds RatioOverweightRetrospective StudiesSex FactorsAntitubercular Agents

Identifiers

PMID26735532
PMCPMC4706252

What OpenQuestion holds

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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 OpenQuestion graph.