Evidence map›Paper›PMID 27344190›Full record

ReviewSeminars in perinatology2016

What we have learned about the design of randomized trials in pregnancy.

Elizabeth A Thom, Madeline Murguia Rice, George R Saade, Uma M Reddy, Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal–Fetal Medicine Units Network

Abstract readReview
In one paragraph

Review in Seminars in perinatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Trial
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.

Elizabeth A ThomGeorge Washington University Biostatistics Center, 6110 Executive Boulevard, Suite 750, Rockville, MD 20852. Electronic address: e_thom@bsc.gwu.edu.
Madeline Murguia RiceGeorge Washington University Biostatistics Center, 6110 Executive Boulevard, Suite 750, Rockville, MD 20852.
George R SaadeDepartment of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX.
Uma M ReddyEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal–Fetal Medicine Units Network

Funding

Data Coord Ctr-NICHD Cooperative Multicenter Maternal Medicine Units Research NetU10HD036801 · NICHD · GEORGE WASHINGTON UNIVERSITY · PI CLIFTON, REBECCA GERSNOVIEZ · 2009 to 2021
$174.2M
MATERNAL FETAL RESEARCH NETWORK: DATA COORDINATING CTRU01HD036801 · NICHD · GEORGE WASHINGTON UNIVERSITY · PI THOM, ELIZABETH ANN · 1998 to 2008
$27.0M
NICHD NIH HHS U01 HD036801NICHD NIH HHS U10 HD036801
6 · The paper itself

Abstract

For nearly 30 years the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Maternal-Fetal Medicine Units (MFMU) Network has been conducting randomized trials in pregnant women, many of which have changed clinical practice. Since 1986, the MFMU Network has conducted 29 randomized trials, of which the 17 trials started or completed since 2003 are described here. Study design choices are described including decisions regarding the fundamental questions to be answered and the rationale behind choices of primary and secondary outcomes. Some of the potential pitfalls, particularly relating to bias, that can affect the interpretation of trial results are described along with the mechanisms that the Network has used to avoid or minimize them.

Indexed as

National Institute of Child Health and Human Development (U.S.)Prenatal CareAdultFemaleHumansInfant, NewbornPregnancyPregnancy ComplicationsRandomized Controlled Trials as TopicResearch DesignUnited Statesbiasprimary outcomerandomized trialstudy design

Identifiers

PMID27344190
PMCPMC5080531

What OpenQuestion holds

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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 OpenQuestion graph.