Evidence map›Paper›PMID 35969615›Full record

ArticlePloS one2022

Development of a diarrhoea severity scoring scale in a passive health facility-based surveillance system.

Denise T St Jean, Obvious N Chilyabanyama, Samuel Bosomprah, Mah Asombang, Rachel M Velu, Mwelwa Chibuye, Fiona Mureithi, Nsofwa Sukwa, Masuzyo Chirwa, Prudence Mokha and 2 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The Burden and Genomic Characterization ofmedRxiv : the preprint server for health sciences · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Prevalence of DiarrhoeagenicMicroorganisms · 2023
    Article
  8. Observational
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

12 authors.

Denise T St JeanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0001-5270-3101
Obvious N ChilyabanyamaCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0003-3593-1895
Samuel BosomprahCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-2826-3887
Mah AsombangCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-7455-4255
Rachel M VeluCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.
Mwelwa ChibuyeCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-7609-9698
Fiona MureithiCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.
Nsofwa SukwaCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0001-6872-4337
Masuzyo ChirwaCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0001-6036-7320
Prudence MokhaCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0001-5891-1673
Roma ChilengiCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0003-0221-9527
Michelo SimuyandiCentre for Infectious Diseases Research in Zambia, Lusaka, Zambia.ORCID 0000-0002-7348-2835

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiarrhoeal disease remains a leading cause of death among children mostly in low and middle-income countries. Factors contributing to disease severity are complex and there is currently no consensus on a scoring tool for use in community-based studies.

methodsData were collected during a passive surveillance system in an outpatient health facility in Lusaka, Zambia from March 2019 to July 2019. Diarrhea episodes were assessed for severity using an in-house severity scoring tool (CIDRZ) and previously published scores (Vesikari, Clark, CODA, and DHAKA). The CIDRZ score was constructed using fieldworker-reported clinical signs and exploratory factor analysis. We used precision-recall curves measuring severe diarrhoea (i.e., requiring intravenous rehydration or referred for hospital admission) to determine the best performing scores. Then, we used Cronbach's alpha to assess the scale's internal consistency. Finally, we used Cohen's kappa to assess agreement between the scores.

resultsOf 110 diarrhea episodes, 3 (3%) required intravenous rehydration or were referred for hospital admission. The precision-recall area under the curve of each score as a predictor of severe diarrhoea requiring intravenous rehydration or hospital admission was 0.26 for Vesikari, 0.18 for CODA, 0.24 for Clark, 0.59 for DHAKA, and 0.59 for CIDRZ. The CIDRZ scale had substantial reliability and performed similarly to the DHAKA score.

conclusionsDiarrhoea severity scores focused on characteristics specific to dehydration status may better predict severe diarrhea among children in Lusaka. Aetiology-specific scoring tools may not be appropriate for use in community healthcare settings. Validation studies for the CIDRZ score in diverse settings and with larger sample sizes are warranted.

Indexed as

DiarrheaHealth FacilitiesBangladeshChildHumansInfantReproducibility of ResultsZambia

Identifiers

PMID35969615
PMCPMC9377573

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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.