Evidence map›Paper›PMID 28761202›Full record

ArticleIranian journal of medical sciences2017

Admission Test and Pregnancy Outcome.

Setareh Akhavan, Parvaneh Lak, Fatemeh Rahimi-Sharbaf, Seyed Rahim Mohammadi, Mahboobeh Shirazi

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Setareh AkhavanDepartment of Gynecology, Tehran University of Medical Sciences, Tehran, Iran.
Parvaneh LakDepartment of Obstetrics and Gynaecology, Shaheed Chamran Hospital, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh Rahimi-SharbafDepartment of Gynecology, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Rahim MohammadiTehran University of Medical Sciences, Tehran, Iran.
Mahboobeh ShiraziMaternal Fetal and Neonatal Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe admission test (AT) has been carried out for many years, but there are still debates about the prognostic value of the test. Therefore, we aimed to examine the value of the AT in predicting the adverse outcome in neonates.

methodsIn this cross-sectional study, 425 pregnant women with normal vaginal delivery were studied between2009 and 2014at Vali-e-Asr Hospital. Based on the results, the women were divided into 2groups of normal and abnormal ATs. All the patients were followed up until the birth of their baby, when the status of mother and neonate was determined. The main outcomes of the study were cesarean rate, neonatal intensive care unit (NICU) admission, fetus demise, neonatal acidosis, and Apgar score. The independent

resultsOf 425 pregnant women studied, 142 (33.4%) had abnormal ATs with a mean age of 29 (±4.5) years. Multivariate analysis showed that an abnormal AT was able to predict the incidence of cesarean section, intrauterine growth restriction, turned cord, and Apgar<7, but it could not predict neonatal death and hypoxia.

conclusionThe AT was shown to be a useful screening test with risk factors such as oligohydramnios, bloody amniotic fluid, meconium amniotic fluid, intrauterine growth restriction, and turned cord. Additionally, the test was also able to predict NICU admission and the need for cesarean section, but it could not predict the occurrence of neonatal death.

Indexed as

Admission testCardiotocographyElectronic fetal monitoringInfantOutcome

Identifiers

PMID28761202
PMCPMC5523043
OpenAlexW2580017544

What OpenQuestion holds

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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.