Evidence map›Paper›PMID 34348497›Full record

ArticleThe Journal of international medical research2021

Magnitude of spontaneous preterm birth and its associated factors among preterm birth in NICU wards in Asella Teaching and Referral Hospital, Asella, Oromia, Ethiopia.

Techane Sisay Tuji, Addisu Dabi Wake, Gezahegn Badeg Adere, Aselefu Beka Wedajo, Batu Dekeba Obole, Derartu Tesfaye Jenka, Selamawit T/Birehan Gebriye

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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

7 authors at 2 institutions in 1 country.

Techane Sisay TujiDepartment of Nursing, 446807Arsi University, College of Health Sciences, Arsi University, Asella, Oromia, Ethiopia.ORCID https://orcid.org/0000-0002-3094-9642
Addisu Dabi WakeDepartment of Nursing, 446807Arsi University, College of Health Sciences, Arsi University, Asella, Oromia, Ethiopia.ORCID https://orcid.org/0000-0003-1219-0836
Gezahegn Badeg AdereDalety Health Centre, Yaya Gulale Woreda, North Shoa Zone, Oromia, Ethiopia.
Aselefu Beka WedajoMuka Turi Health Centre, Wucale Woreda, North Shoa Zone, Oromia, Ethiopia.
Batu Dekeba OboleDukem Health Centre, Oromia, Ethiopia.
Derartu Tesfaye JenkaBeltu Health Centre, Bale Zone, Oromia, Ethiopia.
Selamawit T/Birehan GebriyeAkeki Health Centre, Oromia, Ethiopia.
Oromiyaa Regional Health Bureau · ETArsi University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the prevalence of spontaneous preterm births and to identify the associated risk factors.

methodsThis single-centre cross-sectional study enrolled women that experienced a preterm birth as registered on the neonatal log-book between 30 December 2019 and 30 December 2020. A pre-tested structured checklist was used to collect data (sociodemographic characteristics; obstetric-related factors; medical history; and pregnancy-related factors). Bivariate logistic regression analyses were applied to identify factors associated with spontaneous preterm birth. A multivariate model identified significant independent risk factors.

resultsA total of 310 patients participated in the study. The prevalence of spontaneous preterm birth in this population was 67.1% (208 of 310; 95% confidence interval [CI] 61.5, 71.9). Patients without a partner (adjusted odds ratio [AOR] = 1.470, 95% CI 1.23, 4.42), patients residing in a rural area (AOR = 2.51, 95% CI 1.123, 5.513) and those with a history of PIH during their current pregnancy (AOR = 0.104, 95% CI 0.053, 0.014) were significantly more likely to have a spontaneous preterm birth.

conclusionThe prevalence of spontaneous preterm birth in in this study was high. Healthcare providers and all stakeholders should focus on screening pregnant women at the risk of spontaneous preterm birth.

Indexed as

Premature BirthCross-Sectional StudiesEthiopiaFemaleHospitals, PublicHumansInfant, NewbornIntensive Care Units, NeonatalPregnancyReferral and ConsultationRisk Factorsinduced preterm birthoptimal intervalshort inter-pregnancy intervalSpontaneous preterm birth

Identifiers

PMID34348497
PMCPMC8358525
OpenAlexW3190157484

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.