Evidence map›Paper›PMID 34977238›Full record

ArticleBioMed research international2021

Prevalence of Intestinal Parasitic Infections and Associated Risk Factors among Pregnant Women Attending Prenatal Care in the Northwestern Ethiopia.

Gebre Ayanaw Alula, Abaineh Munshea, Endalkachew Nibret

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
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  11. Review
  12. Observational
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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

3 authors at 1 institution in 1 country.

Gebre Ayanaw AlulaDepartment of Biology, College of Science, Bahir Dar University, Ethiopia.
Abaineh MunsheaDepartment of Biology, College of Science, Bahir Dar University, Ethiopia.ORCID https://orcid.org/0000-0002-1469-2189
Endalkachew NibretDepartment of Biology, College of Science, Bahir Dar University, Ethiopia.ORCID https://orcid.org/0000-0002-7063-2877
Bahir Dar University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intestinal parasitic infections (IPIs) are the common health problems in developing countries with low socioeconomic and poor living conditions. IPIs affect millions of pregnant women worldwide and may lead to adverse maternal and fetal effects. The present study was aimed at determining the prevalence and associated risk factors of IPIs among pregnant women in Ethiopia. A hospital-based cross-sectional study involving 384 pregnant women was conducted from November 2018 to March 2019. Relevant information on potential risk factors associated with IPIs was gathered using a semistructured questionnaire. Stool samples were collected and examined using wet mount and formol-ether concentration techniques. Logistic regression was used to evaluate the possible association between dependent and independent variables. The overall prevalence of IPIs was 36.7%. Seven species of parasites were identified. The most prevalent intestinal protozoan parasite identified was

Indexed as

AdolescentAdultAnimalsCross-Sectional StudiesEthiopiaFecesFemaleHumansIntestinal Diseases, ParasiticIntestinesParasitesPregnancyPregnant PeoplePrenatal CarePrevalenceRisk FactorsSoil

Identifiers

PMID34977238
PMCPMC8718307
OpenAlexW4200038822

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.