Evidence map›Paper›PMID 30917170›Full record

Observational studyPloS one2019

Effect of malnutrition on radiographic findings and mycobacterial burden in pulmonary tuberculosis.

Kacie J Hoyt, Sonali Sarkar, Laura White, Noyal Mariya Joseph, Padmini Salgame, Subitha Lakshminarayanan, Muthuraj Muthaiah, Saka Vinod Kumar, Jerrold J Ellner, Gautam Roy and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 4% of its field
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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  4. ERJ open research · 2026
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  5. Article
  6. Observational
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  12. Impact of premorbid nutritional status on TB severity.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
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  16. Article
  17. A predictive score for early in-patient tuberculosis mortality: A case-control study.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
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  18. Article
  19. Review
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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

12 authors at 3 institutions in 2 countries.

Kacie J HoytDepartment of Epidemiology, Boston University, Boston, MA, United States of America.ORCID 0000-0002-3841-8432
Sonali SarkarDepartment of Preventive and Social Medicine, JIPMER, Puducherry, India.
Laura WhiteDepartment of Biostatistics, Boston University, Boston, MA, United States of America.
Noyal Mariya JosephDepartment of Microbiology, JIPMER, Puducherry, India.
Padmini SalgameRutgers-New Jersey Medical School, Newark, NJ, United States of America.
Subitha LakshminarayananDepartment of Preventive and Social Medicine, JIPMER, Puducherry, India.
Muthuraj MuthaiahIntermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India.
Saka Vinod KumarDepartment of Pulmonary Medicine, JIPMER, Puducherry, India.
Jerrold J EllnerDepartment of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, MA, United States of America.
Gautam RoyDepartment of Preventive and Social Medicine, JIPMER, Puducherry, India.
C Robert HorsburghDepartment of Epidemiology, Boston University, Boston, MA, United States of America.
Natasha S HochbergDepartment of Epidemiology, Boston University, Boston, MA, United States of America.
Boston University · USJawaharlal Institute of Post Graduate Medical Education and Research · INRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between malnutrition and tuberculosis (TB) severity is understudied. We investigated the effect of malnutrition on radiographic findings and mycobacterial burden.

methodsSubjects included newly diagnosed, smear-positive, culture-confirmed, pulmonary TB cases enrolled in the Regional Prospective Observational Research for TB (RePORT) cohort. Multivariate regression models were used to evaluate the relationship at start of treatment between body mass index (BMI) and chest radiograph (CXR) findings of cavitation and percentage of lung affected and mycobacterial growth indicator tube (MGIT) time to positive (TTP). Severe malnutrition was defined as BMI<16 kg/m2, moderate malnutrition as 16-18.4kg/m2, and "normal"/overweight as ≥18.5 kg/m2.

resultsOf 173 TB cases with chest x-ray data, 131 (76%) were male. The median age was 45 years (range 16-82); 42 (24%) had severe malnutrition and 58 (34%) moderate malnutrition. Median percentage of lung affected was 32% (range 0-95), and 132 (76%) had cavitation. Individuals with severe malnutrition had, on average, 11.1% [95% CI: 4.0-13.3] more lung affected, compared to those with normal BMI, controlling for diabetes and cavitation. In multivariable analyses, cases with severe malnutrition had a 4.6-fold [95% CI, 1.5-14.1] increased odds of cavitation compared to those with normal BMI, controlling for smoking. Median MGIT TTP was 194.5 hours. Neither severe (aRR 0.99; 95% CI, 0.9-1.2) nor moderate (aRR 0.97; 95% CI, 0.8-1.1) malnutrition was associated with MGIT TTP.

conclusionWe found that malnutrition was associated with increased extent of disease and cavitation on CXR. These findings may reflect the immunomodulatory effect of malnutrition on pulmonary pathology.

Indexed as

AdolescentAdultAgedAged, 80 and overBacteriological TechniquesBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansIndiaLungMaleMalnutritionMiddle AgedMycobacterium tuberculosis

Identifiers

PMID30917170
PMCPMC6436704
OpenAlexW2923281070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.