Evidence map›Paper›PMID 36348314›Full record

ArticleBMC pregnancy and childbirth2022

Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study.

Maryam Najjarzadeha, Sakineh Mohammad-Alizadeh-Charandabi, Shamsi Abbasalizadeh, Mohammad Asghari-Jafarabadi, Mojgan Mirghafourvand

Abstract read
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Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maryam NajjarzadehaDepartment of Midwifery, Faculty of Nursing and Midwifery, Umia University of Medical Sciences, Urmia, Iran.
Sakineh Mohammad-Alizadeh-CharandabiSocial Determinants of Health Research Center, Department of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Shariatie Ave, Tabriz, Iran. alizades@tbzmed.ac.ir.
Shamsi AbbasalizadehWomen's Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Asghari-JafarabadiCabrini Research, Cabrini Health, Melbourne, VIC, 3144, Australia.
Mojgan MirghafourvandMenopause Andropause Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediction of preterm birth is still a challenge due to its multiple etiologies. This prospective cohort study aimed to determine the technology-free predictors of preterm birth in singleton women with threatened preterm labor.

methodsThis prospective cohort study was performed on 371 singleton women with gestational age of 23

resultsPreterm birth occurred in 51% of women. Seven variables were determined as predictors; rupture of membranes [adjusted odds ratio 11.7, 95% confidence interval 5.4 to 25.6], cervical dilation [AOR 4.1, 95% CI 2.0 to 7.0], gravidity ≥6 [AOR 27.4, 95%CI 2.8 to 264.3], psychological violence during pregnancy [AOR 2.0, 95% CI 1.1 to 3.2], medical problems in pregnancy onset [AOR 1.7, 95% CI 1.1 to 2.8], vaginal bleeding/spotting [AOR 2.1, 95% CI 1.2 to 4.0] and woman age ≤ 19 [AOR 2.2, 95% CI 1.1 to 4.5]. The proportion of variance explained by all these factors was 33.6%.

conclusionsThe technology-free factors seems to have moderate power in preterm birth prediction in singleton pregnant women hospitalized for threatened preterm labor. However, these results are discoveries without verification or validation and need to be confirmed by generalizable studies.

Indexed as

Obstetric Labor, PrematurePremature BirthFemaleGestational AgeHumansInfantInfant, NewbornOdds RatioPregnancyProspective StudiesPredictorPremature birthPreterm birthTechnology-freeThreatened preterm labor

Identifiers

PMID36348314
PMCPMC9641943

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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.