Evidence map›Paper›PMID 28448489›Full record

ArticlePLoS neglected tropical diseases2017

Determinants of severe dehydration from diarrheal disease at hospital presentation: Evidence from 22 years of admissions in Bangladesh.

Jason R Andrews, Daniel T Leung, Shahnawaz Ahmed, Mohammed Abdul Malek, Dilruba Ahmed, Yasmin Ara Begum, Firdausi Qadri, Tahmeed Ahmed, Abu Syed Golam Faruque, Eric J Nelson

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Jason R AndrewsDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America.
Daniel T LeungDivision of Infectious Diseases, Department of Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States of America.
Shahnawaz AhmedInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Mohammed Abdul MalekInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Dilruba AhmedInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Yasmin Ara BegumInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Firdausi QadriInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Tahmeed AhmedInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Abu Syed Golam FaruqueInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Eric J NelsonEmerging Pathogens Institute and Child Health Research Institute, Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, United States of America.
International Centre for Diarrhoeal Disease Research · BDStanford University · USUniversity of Florida · USUniversity of Utah · US

Funding

A novel approach to improve patient care and diarrheal disease research using mobile technologyDP5OD019893 · OD · UNIVERSITY OF FLORIDA · PI NELSON, ERIC JORGE · 2014 to 2018
$1.9M
Immune Responses to Vibrio Cholerae in ChildrenK08AI100923 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2012 to 2016
$686k
NIAID NIH HHS K08 AI100923NIH HHS DP5 OD019893
6 · The paper itself

Abstract

backgroundTo take advantage of emerging opportunities to reduce morbidity and mortality from diarrheal disease, we need to better understand the determinants of life-threatening severe dehydration (SD) in resource-poor settings. METHODOLOGY/

findingsWe analyzed records of patients admitted with acute diarrheal disease over twenty-two years at the International Centre for Diarrhoeal Disease Research, Bangladesh (1993-2014). Patients presenting with and without SD were compared by multivariable logistic regression models, which included socio-demographic factors and pathogens isolated. Generalized additive models evaluated non-linearities between age or household income and SD. Among 55,956 admitted patients, 13,457 (24%) presented with SD. Vibrio cholerae was the most common pathogen isolated (12,405 patients; 22%), and had the strongest association with SD (AOR 4.77; 95% CI: 4.41-5.51); detection of multiple pathogens did not exacerbate SD risk. The highest proportion of severely dehydrated patients presented in a narrow window only 4-12 hours after symptom onset. Risk of presenting with SD increased sharply from zero to ten years of age and remained high throughout adolescence and adulthood. Adult women had a 38% increased odds (AOR 1.38; 95% CI: 1.30-1.46) of SD compared to adult men. The probability of SD increased sharply at low incomes. These findings were consistent across pathogens. CONCLUSIONS/SIGNIFICANCE: There remain underappreciated populations vulnerable to life-threatening diarrheal disease that include adult women and the very poor. In addition to efforts that address diarrheal disease in young children, there is a need to develop interventions for these other high-risk populations that are accessible within 4 hours of symptom onset.

Indexed as

HospitalizationAdolescentAdultAgedAged, 80 and overBangladeshCase-Control StudiesChildChild, PreschoolDehydrationDiarrheaFemaleHospitalsHumansInfantInfant, Newborn

Identifiers

PMID28448489
PMCPMC5423662
OpenAlexW2609693574

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.