Evidence map›Paper›PMID 29348415›Full record

ArticleScientific reports2018

Trends in Fetal Growth Between 2000 to 2014 in Singleton Live Births from Israel.

Keren Agay-Shay, Mary Rudolf, Lisa Rubin, Ziona Haklai, Itamar Grotto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 15 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 2 institutions in 1 country.

Keren Agay-ShayAzrieli Faculty of Medicine, Bar Ilan University, Safed, Israel. keren.agay-shay@biu.ac.il.
Mary RudolfAzrieli Faculty of Medicine, Bar Ilan University, Safed, Israel.
Lisa RubinDepartment of Maternal and Child Health, Public Health Services, Ministry of Health, Jerusalem, Israel.
Ziona HaklaiHealth Information Division, Ministry of Health, Jerusalem, Israel.
Itamar GrottoMinistry of Health, Jerusalem, Israel.
Israel Ministry of Health · ILBar-Ilan University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trends in birthweight and abnormal fetal growth, namely term low birthweight (LBW), macrosomia, small-for-gestational age (SGA) and large-for-gestational age (LGA), are important indicators of changes in the health of populations. We performed this epidemiological study to evaluate these trends among 2,039,415 singleton live births from Israel over a period of 15 years. Birth certificate data was obtained from the Ministry of Health. Multivariable linear and logistic regression models were used to evaluate crude and adjusted estimates compared to the baseline of 2000 and polynomial trends. During the study period we observed a significant decrease in the rates of infants born SGA and LGA (10.7% to 9.2%, 10.2% to 9.6% respectively). After adjustment, based on the imputed data set, term mean birthweight increased by 6.0 grams (95% CI: 2.9, 9.1), and term LBW odds decreased by 19% in 2014 compared to 2000 (adj ORs: 0.81; 95% CI: 0.77, 0.85). Significant decreases were also observed for adjusted SGA, LGA and macrosomia rates. The decrease in abnormal fetal growth rates were not entirely explained by changes in sociodemographic characteristics or gestational age and may imply real improvement in child intrauterine growth in Israel during the last 15 years, especially in the Jewish population.

Indexed as

Birth WeightFetal DevelopmentLive BirthFemaleFetal MacrosomiaGestational AgeHumansInfant, Low Birth WeightInfant, Small for Gestational AgeIsraelMaleOdds RatioPublic Health Surveillance

Identifiers

PMID29348415
PMCPMC5773590
OpenAlexW2782745402

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.