Evidence map›Paper›PMID 38712194›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Socioeconomic status and the risk for colonization or infection with priority bacterial pathogens: a global evidence map.

Sarah Blackmon, Esther Avendano, Nanguneri Nirmala, Courtney W Chan, Rebecca A Morin, Sweta Balaji, Lily McNulty, Samson Alemu Argaw, Shira Doron, Maya L Nadimpalli

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Sarah BlackmonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
Esther AvendanoAvendado Consulting, Boston, MA.
Nanguneri NirmalaInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Courtney W ChanUniversity of Massachusetts T.H. Chan School of Medicine, Worcester, MA, USA.
Rebecca A MorinHirsh Health Sciences Library, Tufts University, Boston, MA, USA.
Sweta BalajiDepartment of Quantitative Theory and Methods, Emory University, Atlanta, GA.
Lily McNultyHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.
Samson Alemu ArgawHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA.
Shira DoronDivision of Geographic Medicine and Infectious Disease, Department of Medicine, Tufts Medical Center, Boston, MA, USA.
Maya L NadimpalliStuart B. Levy Center for Integrated Management of Antimicrobial Resistance (Levy CIMAR), Tufts University, Boston, MA, USA.ORCID 0000-0002-6526-116X

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

Low socioeconomic status (SES) is thought to exacerbate risks for bacterial infections, but global evidence for this relationship has not been synthesized. We systematically reviewed the literature for studies describing participants' SES and their risk of colonization or community-acquired infection with priority bacterial pathogens. Fifty studies from 14 countries reported outcomes by participants' education, healthcare access, income, residential crowding, SES deprivation score, urbanicity, or sanitation access. Low educational attainment, lower than average income levels, lack of healthcare access, residential crowding, and high deprivation were generally associated with higher risks of colonization or infection. There is limited research on these outcomes in low- and middle-income countries (LMICs) and conflicting findings regarding the effects of urbanicity. Only a fraction of studies investigating pathogen colonization and infection reported data stratified by participants' SES. Future studies should report stratified data to improve understanding of the complex interplay between SES and health, especially in LMICs.

Indexed as

antimicrobial resistanceevidence mapinfectious diseasesocial determinants of healthsocioeconomic status

Identifiers

PMID38712194
PMCPMC11071581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.