Evidence map›Paper›PMID 34508533›Full record

ArticleJNMA; journal of the Nepal Medical Association2021

Rupture Uterus in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Deepa Chudal, Sebak Shrestha, Ruby Shrestha, Vikash Paudel

Open access · diamondAbstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Deepa ChudalNepal Police Hospital, Kathmandu, Nepal.
Sebak ShresthaNepal Police Hospital, Kathmandu, Nepal.
Ruby ShresthaNational Medical College, Birgunj, Kathmandu, Nepal.
Vikash PaudelNational Medical College, Birgunj, Kathmandu, Nepal.
Nepal Medical College Teaching Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRupture uterus is an obstetric catastrophe with poor maternal and fetal outcome. The objective of the study is to determine the prevalence of rupture uterus in pregnancy.

methodsThis was a descriptive cross sectional study conducted in a tertiary care centre from January 2016 to December 2016 after taking ethical approval (Approval No. F-NMC-510/76/77) from Institutional Review Committee. Convenience sampling method was used. Data were entered in the Microsoft Excel sheet and obtained data was analysed using Statistical Package for Social Sciences version 18 software for central tendency and frequencies.

resultsOut of total 1559 deliveries, prevalence of rupture uterus was found to be 12 (0.0077%). Previous lower segment caesarean scar rupture was the most common risk factor noted in 7 (58.3%) cases. A total of seven patients (58.3%) required intensive care unit admission and blood transfusion. Other maternal complications were surgical site infection 2 (16.67%), sepsis 2 (16.67%), paralytic ileus 1 (8.3%), pelvic collection 1 (8.3%) and vesico vaginal fistula 1 (8.3%). Two maternal deaths (16.67%) and perinatal death was noted in 8 (66.66 % ) cases.

conclusionsRupture uterus most commonly occurred in scarred uterus. Identification of high risk pregnancy, judicious caesarean section, proper labor monitoring, early diagnosis and prompt management are essential in reducing its occurrences.

Indexed as

Cesarean SectionUterine RuptureCross-Sectional StudiesFemaleHumansPregnancyPregnancy OutcomeTertiary Care CentersUterus

Identifiers

PMID34508533
PMCPMC8369591
OpenAlexW3164373604

What OpenQuestion holds

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LicenceCC BY
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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.