Evidence map›Paper›PMID 29880692›Full record

Observational studyScience (New York, N.Y.)2018

Noninvasive blood tests for fetal development predict gestational age and preterm delivery.

Thuy T M Ngo, Mira N Moufarrej, Marie-Louise H Rasmussen, Joan Camunas-Soler, Wenying Pan, Jennifer Okamoto, Norma F Neff, Keli Liu, Ronald J Wong, Katheryne Downes and 8 more

2 registry-linked trialsOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 157 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 5 pooled it
25.1field-weighted citation impact, top 1% 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.

NCT04070573 phase3completednot on this mapstarted 2019, after this paper: background citation

A Randomized Controlled Trial Comparing Low Doses Of Aspirin In The Prevention Of Preeclampsia (ASAPP)

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2019 to 2025Enrolled400ConditionsPreeclampsiaArmsacetylsalicylic acid
NCT04590677 unknown statusnot on this mapstarted 2020, after this paper: background citation

Prediction of the Onset of Term and Preterm Labour (PREDICT)

TypeobservationalSponsorChelsea and Westminster NHS Foundation TrustRan2020 to 2022Enrolled200ConditionsPreterm Pregnancy, Preterm Birth, Preterm Birth Complication, Preterm Premature Rupture of MembraneArmsSamples required from group 1 (procedure within observational study), Samples required from group 2 (procedure within observational study)
3 · Its place in the literature

Who cites it

157 citing papers in PubMed, 5 syntheses or guidelines pooled it, 266 citations in OpenAlex.

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97 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Thuy T M NgoDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA.ORCID 0000-0002-0751-8983
Mira N MoufarrejDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA.ORCID 0000-0001-8953-4057
Marie-Louise H RasmussenDepartment of Epidemiology Research, Statens Serum Institute, Copenhagen 2300, Denmark.ORCID 0000-0001-7676-593X
Joan Camunas-SolerDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA.ORCID 0000-0001-6148-8132
Wenying PanDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA.ORCID 0000-0002-3291-7038
Jennifer OkamotoDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA.
Norma F NeffDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA.ORCID 0000-0001-7141-5420
Keli LiuDepartment of Statistics, Stanford University, Stanford, CA 94305, USA.
Ronald J WongDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-1205-6936
Katheryne DownesMaternal and Child Health Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0001-9517-9979
Robert TibshiraniDepartment of Statistics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0553-5090
Gary M ShawDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-7438-4914
Line SkotteDepartment of Epidemiology Research, Statens Serum Institute, Copenhagen 2300, Denmark.ORCID 0000-0002-7398-1271
David K StevensonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Joseph R BiggioCenter for Women's Reproductive Health, Department of Obstetrics and Gynecology, University of Alabama, Birmingham, AL 35294, USA.ORCID 0000-0003-3748-7206
Michal A ElovitzMaternal and Child Health Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0001-7554-7180
Mads MelbyeDepartment of Epidemiology Research, Statens Serum Institute, Copenhagen 2300, Denmark. quake@stanford.edu mmelbye@stanford.edu.ORCID 0000-0001-8264-6785
Stephen R QuakeDepartments of Bioengineering and Applied Physics, Stanford University and Chan Zuckerberg Biohub, Stanford, CA 94305, USA. quake@stanford.edu mmelbye@stanford.edu.ORCID 0000-0002-1613-0809
Chan Zuckerberg Initiative (United States) · USStanford University · USStatens Serum Institut · DKUniversity of Pennsylvania · USUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive blood tests that provide information about fetal development and gestational age could potentially improve prenatal care. Ultrasound, the current gold standard, is not always affordable in low-resource settings and does not predict spontaneous preterm birth, a leading cause of infant death. In a pilot study of 31 healthy pregnant women, we found that measurement of nine cell-free RNA (cfRNA) transcripts in maternal blood predicted gestational age with comparable accuracy to ultrasound but at substantially lower cost. In a related study of 38 women (23 full-term and 15 preterm deliveries), all at elevated risk of delivering preterm, we identified seven cfRNA transcripts that accurately classified women who delivered preterm up to 2 months in advance of labor. These tests hold promise for prenatal care in both the developed and developing worlds, although they require validation in larger, blinded clinical trials.

Indexed as

Fetal DevelopmentGestational AgeAdultBlood Chemical AnalysisCell-Free Nucleic AcidsFemaleFetal MonitoringHumansPilot ProjectsPregnancyPremature BirthPrenatal CareYoung AdultCell-Free Nucleic Acids

Identifiers

PMID29880692
PMCPMC7734383
OpenAlexW2805423673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.