Evidence map›Paper›PMID 34104153›Full record

ArticlePakistan journal of medical sciences

Prevalence-pattern and risk factors of Cesarean section in a multiethnic cohort.

Khadija Murtaza, Madeeha Chaudhry, Shabana Nazeer, Sajid Malik

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Khadija MurtazaKhadija Murtaza, Human Genetics Program, Department of Zoology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Madeeha ChaudhryMadeeha Chaudhry, Human Genetics Program, Department of Zoology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Shabana NazeerShabana Nazeer, Human Genetics Program, Department of Zoology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.
Sajid MalikSajid Malik, Human Genetics Program, Department of Zoology, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was aimed to elucidate the prevalence-pattern and determinant of cesarean section (CS) in a multiethnic cohort from Pakistan.

methodsThrough a cross-sectional study design, women delivering at a tertiary care center were recruited during 2013-2017. Data on socio-demographic variables, obstetric complications and birth outcome were obtained. Descriptive statistics, bivariate and multivariate logistic regression analyses were performed.

resultsA total of 5,275 pregnant women were recruited and 43% of the deliveries underwent CS. Odds of CS were significantly higher in subjects originating from Azad JammuKashmir and Sindh regions, speaking Potohari and Pahari languages, women in advance ages, and those who were housewives. CS had significantly lower odds of prenatal mortality but increased odds of postnatal mortality. Obstetric factors that appeared to be significant predictors of CS were multiparity, breech position, fetal distress, oligohydroamniosis, preeclampsia, and previous scar.

conclusionThis study revealed high variability in CS in various socio-demographic strata of study population. The obstetric complications highlighted in this study may be reduced by proper perinatal counseling and pregnancy monitoring and should be the focus of intervention programs as suggested in the Millennium Development Goals.

Indexed as

birthmaternal healthmode of deliveryobstetric deliveryparturitionpregnancy complications

Identifiers

PMID34104153
PMCPMC8155449

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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.