Evidence map›Paper›PMID 35413979›Full record

ArticleScientific reports2022

An influence of dew point temperature on the occurrence of Mycobacterium tuberculosis disease in Chennai, India.

Rajendran Krishnan, Kannan Thiruvengadam, Lavanya Jayabal, Sriram Selvaraju, Basilea Watson, Muniyandi Malaisamy, Karikalan Nagarajan, Srikanth P Tripathy, Ponnuraja Chinnaiyan, Padmapriyadarsini Chandrasekaran

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

10 authors.

Rajendran KrishnanICMR-National Institute for Research in Tuberculosis, Chennai, India. rajendran.k@nirt.res.in.
Kannan ThiruvengadamICMR-National Institute for Research in Tuberculosis, Chennai, India.
Lavanya JayabalDTO, NTEP, Greater Chennai Corporation, Chennai, India.
Sriram SelvarajuICMR-National Institute for Research in Tuberculosis, Chennai, India.
Basilea WatsonICMR-National Institute for Research in Tuberculosis, Chennai, India.
Muniyandi MalaisamyICMR-National Institute for Research in Tuberculosis, Chennai, India.
Karikalan NagarajanICMR-National Institute for Research in Tuberculosis, Chennai, India.
Srikanth P TripathyICMR-National Institute for Research in Tuberculosis, Chennai, India.
Ponnuraja ChinnaiyanICMR-National Institute for Research in Tuberculosis, Chennai, India.
Padmapriyadarsini ChandrasekaranICMR-National Institute for Research in Tuberculosis, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate factors such as dew point temperature, relative humidity and atmospheric temperature may be crucial for the spread of tuberculosis. This study was conducted for the first time to investigate the relationship of climatic factors with TB occurrence in an Indian setting. Daily tuberculosis notification data during 2008-2015 were generated from the National Treatment Elimination Program, and analogous daily climatic data were obtained from the Regional Meteorological Centre at Chennai city, Tamil Nadu, India. The decomposition method was adopted to split the series into deterministic and non-deterministic components, such as seasonal, non-seasonal, trend and cyclical, and non-deterministic climate factors. A generalized linear model was used to assess the relation independently. TB disease progression from latent stage infection to active was supported by higher dew point temperature and moderate temperature. It had a significant association with TB progression in the summer and monsoon seasons. The relative humidity may be favored in the winter and post-monsoon. The water tiny dew droplets may support the TB bacterium to recuperate in the environment.

Indexed as

Mycobacterium tuberculosisTuberculosis, Lymph NodeHumansHumidityIndiaSeasonsTemperature

Identifiers

PMID35413979
PMCPMC9005621

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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.