Evidence map›Paper›PMID 36962866›Full record

ArticlePLOS global public health2022

Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018.

Akhileshwar Singh, Ashok Talyan, Ramesh Chandra, Anubhav Srivastav, Vasudeva Upadhya, Chiranjay Mukhopadhyay, Shyamsundar Shreedhar, Deepak Sudhakaran, Suma Nair, Mohan Papanna and 3 more

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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

13 authors.

Akhileshwar SinghEpidemic Intelligence Service Programme, National Centre for Disease Control, Delhi, India.
Ashok TalyanEpidemic Intelligence Service Programme, National Centre for Disease Control, Delhi, India.
Ramesh ChandraEpidemic Intelligence Service Programme, National Centre for Disease Control, Delhi, India.
Anubhav SrivastavEpidemic Intelligence Service Programme, National Centre for Disease Control, Delhi, India.
Vasudeva UpadhyaDistrict Surveillance Office, Udupi, Karnataka, India.
Chiranjay MukhopadhyayKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0003-0402-1143
Shyamsundar ShreedharKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Deepak SudhakaranKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Suma NairKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID https://orcid.org/0000-0002-1843-075X
Mohan PapannaDivision of Global Health Protection, US Centers for Disease Control and Prevention, Atlanta, United States of America.
Rajesh YadavDivision of Global Health Protection, US Centers for Disease Control and Prevention, Atlanta, United States of America.
Sujeet Kumar SinghEpidemic Intelligence Service Programme, National Centre for Disease Control, Delhi, India.
Tanzin DikidEpidemic Intelligence Service Programme, National Centre for Disease Control, Delhi, India.ORCID https://orcid.org/0000-0001-7186-0516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We initiated an epidemiological investigation following the death of a previously healthy 17 year-old boy with neuro-melioidosis. A case was defined as a culture-confirmed melioidosis patient from Udupi district admitted to hospital A from January 2013-July 2018. For the case control study, we enrolled a subset of cases admitted to hospital A from January 2017- July 2018. A control was resident of Udupi district admitted to hospital A in July 2018 with a non-infectious condition. Using a matched case-control design, we compared each case to 3 controls using age and sex groups. We assessed for risk factors related to water storage, activities of daily living, injuries and environmental exposures (three months prior to hospitalization), using conditional regression analysis. We identified 50 cases with case fatality rate 16%. Uncontrolled diabetes mellitus was present in 84% cases and 66% of cases occurred between May and October (rainy season). Percutaneous inoculation through exposure to stagnant water and injury leading to breakage in the skin were identified as an important mode of transmission. We used these findings to develop a surveillance case definition and initiated training of the district laboratory for melioidosis diagnosis.

Identifiers

PMID36962866
PMCPMC10021467

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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.