Evidence map›Paper›PMID 36060708›Full record

ArticleObstetrics and gynecology international2022

Adverse Perinatal and Maternal Outcomes and Associated Factors among Women with Antepartum Hemorrhage in Jimma University Medical Center, Southwest Ethiopia, 2020.

Melkamu Gelan, Tariku Bekela, Kebanesa Angasu, Mosisa Ebisa

Abstract read
In one paragraph

Article in Obstetrics and gynecology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

4 authors.

Melkamu GelanDepartment of Midwifery, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0003-1566-2202
Tariku BekelaDepartment of Midwifery, Jimma University, Jimma, Ethiopia.
Kebanesa AngasuDepartment of Midwifery, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0003-0354-4161
Mosisa EbisaDepartment of Nursing, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, antepartum hemorrhage is the main cause of perinatal and maternal morbidity and mortality during pregnancy and childbearing. Objective: To assess adverse perinatal and maternal outcomes and associated factors among women with antepartum hemorrhage in Jimma University Medical Center, Southwest Ethiopia, 2020. Methods: Prospective cross-section study was conducted, and data were collected through face to face interview among pregnant women admitted with antepartum hemorrhage. Patient condition was observed and followed up, and patient card was reviewed. Data were coded, checked, entered into EPI version 4.6, and exported to SPSS version 26.0 for analysis. Multivariate logistic regression analysis was made to determine independent factors associated with adverse outcomes. Result: A total of 377 pregnant women were included, and nearly half (192 (50.9%)) of women experienced adverse maternal outcome and 113 (30%) women experienced adverse perinatal outcome. The status of vital sign, address, parity, antenatal care, duration of bleeding before arrival, gestational age, prematurity, and amount of vaginal bleeding were factors significantly associated with adverse maternal and perinatal outcome at Conclusion: Vital sign derangement, vaginal bleeding for ≥12 hrs, gestation age before 37 weeks, rural address, prim parity, amount of vaginal bleeding, and prematurity baby has predicted high rate of adverse perinatal and maternal outcomes.

Identifiers

PMID36060708
PMCPMC9436585

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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.