Evidence map›Paper›PMID 35666717›Full record

ArticlePLoS neglected tropical diseases2022

A comparison of risk factors for cryptosporidiosis and non-cryptosporidiosis diarrhoea: A case-case-control study in Ethiopian children.

Øystein Haarklau Johansen, Alemseged Abdissa, Mike Zangenberg, Zeleke Mekonnen, Beza Eshetu, Bizuwarek Sharew, Sabrina Moyo, Halvor Sommerfelt, Nina Langeland, Lucy J Robertson and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Assessment of Risk Factors forJournal of clinical medicine · 2025
    Article
  3. 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

11 authors at 7 institutions in 3 countries.

Øystein Haarklau JohansenDepartment of Clinical Science, University of Bergen, Bergen, Norway.ORCID 0000-0001-6020-7802
Alemseged AbdissaSchool of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Mike ZangenbergDepartment of Infectious Diseases, Copenhagen University Hospital, Hvidovre, Denmark.
Zeleke MekonnenSchool of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Beza EshetuDepartment of Paediatrics, Jimma Medical Centre, Jimma University, Jimma, Ethiopia.
Bizuwarek SharewSchool of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Sabrina MoyoDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Halvor SommerfeltCentre for Intervention Science in Maternal and Child Health, Centre for International Health, University of Bergen, Bergen, Norway.ORCID 0000-0002-5670-9786
Nina LangelandDepartment of Clinical Science, University of Bergen, Bergen, Norway.ORCID 0000-0003-0278-1616
Lucy J RobertsonParasitology, Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0001-5186-4421
Kurt HanevikDepartment of Clinical Science, University of Bergen, Bergen, Norway.ORCID 0000-0002-1466-2326
Jimma University · ETHaukeland University Hospital · NONorwegian Institute of Public Health · NONorwegian University of Life Sciences · NOSykehuset i Vestfold · NOUniversity of Bergen · NOUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidiosis is a major cause of diarrhoea in young children in low-and-middle-income countries. New interventions should be informed by evidence pertaining to risk factors and their relative importance. Inconsistencies in the literature may to some extent be explained by choice of methodology, furthermore, most previous risk factor studies compared cryptosporidiosis cases to diarrhoea cases of other aetiologies rather than with controls without diarrhoea. METHODOLOGY/PRINCIPAL

findingsWe investigated a broad set of factors in under-2-year-olds presenting with diarrhoea to a hospital and a health center in southwestern Ethiopia. We applied quantitative cut-offs to distinguish between cryptosporidiosis and incidental Cryptosporidium infection or carriage, a hierarchical causal framework to minimize confounding and overadjustment, and a case-case-control design, to describe risk factors for both cryptosporidiosis and non-cryptosporidiosis diarrhoea. Moderate and severe acute malnutrition were strongly associated with both cryptosporidiosis and non-cryptosporidiosis diarrhoea. Previous healthcare attendance and low maternal education were only associated with cryptosporidiosis, whereas unsafe child stool disposal, prematurity and early cessation of exclusive breastfeeding were significantly associated with non-cryptosporidiosis diarrhoea only. By estimation of population attributable fractions, socioeconomic factors-specifically low maternal education-and public tap water use, were apparently more important risk factors for cryptosporidiosis than for non-cryptosporidiosis diarrhoea. CONCLUSIONS/SIGNIFICANCE: Nutritional management of moderate acute malnutrition may be an effective intervention against cryptosporidiosis, particularly if combined with targeted therapy for cryptosporidiosis which, again, may mitigate nutritional insult. Focused caregiver education in healthcare settings and follow-up of children with acute malnutrition may prevent or improve outcomes of future episodes of cryptosporidiosis.

Indexed as

CryptosporidiosisCryptosporidiumMalnutritionCase-Control StudiesChildChild, PreschoolDiarrheaEthiopiaFemaleHumansInfantRisk Factors

Identifiers

PMID35666717
PMCPMC9203008
OpenAlexW4281905741

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.