Evidence map›Paper›PMID 30014842›Full record

ArticleEmerging infectious diseases2018

Poverty and Community-Acquired Antimicrobial Resistance with Extended-Spectrum β-Lactamase-Producing Organisms, Hyderabad, India.

Marcella Alsan, Nagamani Kammili, Jyothi Lakshmi, Anlu Xing, Afia Khan, Manisha Rani, Prasanthi Kolli, David A Relman, Douglas K Owens

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
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  6. Review
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  17. Review
  18. Observational
  19. [Social inequalities related to antimicrobial resistance inRevista panamericana de salud publica = Pan American journal of public health · 2020
    Article
  20. 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

9 authors.

Marcella Alsan
Nagamani Kammili
Jyothi Lakshmi
Anlu Xing
Afia Khan
Manisha Rani
Prasanthi Kolli
David A Relman
Douglas K Owens

Funding

MD/PhD Program in Medicine, the Social Sciences and AgingT32AG051146 · NIA · UNIVERSITY OF CHICAGO · PI MELTZER, DAVID O · 2015 to 2019
$1.0M
NIA NIH HHS T32 AG051146
6 · The paper itself

Abstract

The decreasing effectiveness of antimicrobial agents is a global public health threat, yet risk factors for community-acquired antimicrobial resistance (CA-AMR) in low-income settings have not been clearly elucidated. Our aim was to identify risk factors for CA-AMR with extended-spectrum β-lactamase (ESBL)-producing organisms among urban-dwelling women in India. We collected microbiological and survey data in an observational study of primigravidae women in a public hospital in Hyderabad, India. We analyzed the data using multivariate logistic and linear regression and found that 7% of 1,836 women had bacteriuria; 48% of isolates were ESBL-producing organisms. Women in the bottom 50th percentile of income distribution were more likely to have bacteriuria (adjusted odds ratio 1.44, 95% CI 0.99-2.10) and significantly more likely to have bacteriuria with ESBL-producing organisms (adjusted odds ratio 2.04, 95% CI 1.17-3.54). Nonparametric analyses demonstrated a negative relationship between the prevalence of ESBL and income.

Indexed as

Drug Resistance, Multiple, BacterialPovertyAdolescentAdultAnti-Bacterial AgentsBacterial InfectionsBacteriuriaCommunity-Acquired InfectionsCross-Sectional StudiesFemaleHumansIndiaPregnancyRisk FactorsYoung AdultAnti-Bacterial AgentsAMRantimicrobial resistancebacteriacommunity-acquired antimicrobial resistanceenvironmentESBLextended-spectrum beta-lactamaseIndiapoverty

Identifiers

PMID30014842
PMCPMC6056104

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.