Evidence map›Paper›PMID 32748052›Full record

ArticleArchives of gynecology and obstetrics2020

Trends of change in the individual contribution of risk factors for small for gestational age over more than 2 decades.

Reut Rotem, Misgav Rottenstreich, Ella Prado, Yael Baumfeld, David Yohay, Gali Pariente, Adi Y Weintraub

Erratum issuedAbstract read
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In one paragraph

Article in Archives of gynecology and obstetrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Reut Rotem *Department of Obstetrics and Gynaecology, Shaare Zedek Medical Centre, Jerusalem, Affiliated with the Hebrew University Medical School of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0002-4063-5911
Misgav Rottenstreich *Department of Obstetrics and Gynaecology, Shaare Zedek Medical Centre, Jerusalem, Affiliated with the Hebrew University Medical School of Jerusalem, Jerusalem, Israel. misgavr@gmail.com.ORCID http://orcid.org/0000-0003-4875-1455
Ella PradoDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, Soroka University Medical Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Yael BaumfeldDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, Soroka University Medical Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
David YohayDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, Soroka University Medical Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Gali ParienteDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, Soroka University Medical Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Adi Y WeintraubDepartment of Obstetrics and Gynaecology, Faculty of Health Sciences, Soroka University Medical Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Ben-Gurion University of the Negev · ILShaare Zedek Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOver the past years, the prevalence of various risk factors for small for gestational age (SGA) neonates has changed. Little is known if there was also a change in the specific contribution of these risk factors to the prevalence of SGA. We aim to identify trends in the specific contribution of various risk factors for SGA by observing their odds ratios (ORs) throughout different time periods.

methodsA nested case-control study was conducted. The ORs for selected known risk factors for SGA occurring in three consecutive 8-year intervals between 1988 and 2014 (T1 - 1988-1996; T2 - 1997-2005; T3 - 2006-2014) were compared. Data were retrieved from the medical centre's computerized perinatal database. Multivariable logistic regression models were constructed and ORs were compared to identify the specific contribution of independent risk factors for SGA along the study period.

resultsDuring the study period, 285,992 pregnancies met the study's inclusion criteria, of which 15,013 (5.25%) were SGA. Between 1988 and 2014, the incidence of SGA increased from 2.6% in 1988 to 2.9% in 2014. Using logistic regression models, nulliparity, maternal age, gestational age, hypertensive disorders of pregnancy, oligohydramnios and pre-gestational diabetes mellitus were found to be independently associated with SGA. While the adjusted ORs (aOR) of hypertensive disorders of pregnancy and pre-gestational diabetes mellitus had increased, aORs for nulliparity, maternal age and gestational age had remained stable over time. Oligohydramnios had demonstrated a mixed trend of change over the time.

conclusionIn our study, the specific contribution of factors associated with SGA had changed over time. Having a better understating of the changes in the specific contribution of different risk factors for SGA may enable obstetricians to provide consultations.

Indexed as

Infant, Small for Gestational AgeAdultBirth WeightCase-Control StudiesDiabetes, GestationalFemaleGestational AgeHumansHypertensionIncidenceInfant, NewbornIsraelMaternal AgeOligohydramniosParityPregnancyBirthweightEpidemiologyRisk factorsSmall for gestational age

Identifiers

PMID32748052
OpenAlexW3047503252

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.