Evidence map›Paper›PMID 36295862›Full record

ArticleMetabolites2022

Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity.

Jin Dai, Nansi S Boghossian, Mark A Sarzynski, Feng Luo, Xiaoqian Sun, Jian Li, Oliver Fiehn, Jihong Liu, Liwei Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Jin DaiDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.
Nansi S BoghossianDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Mark A SarzynskiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0001-6705-0668
Feng LuoSchool of Computing, Clemson University, Clemson, SC 29634, USA.
Xiaoqian SunDepartment of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA.
Jian LiDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0003-2614-4291
Oliver FiehnWest Coast Metabolomics Center, University of California, Davis, CA 95616, USA.ORCID 0000-0002-6261-8928
Jihong LiuDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
Liwei ChenDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-8458-5661

Funding

Promoting Healthy Weight in Pregnancy and Postpartum among Overweight/Obese WomenR01HD078407 · NICHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LIU, JIHONG, WILCOX, SARA · 2014 to 2019
$3.0M
Reducing disparities in birth outcomes: a randomized controlled trial on CenteringPregnancyR01HD082311 · NICHD · CLEMSON UNIVERSITY · PI CROCKETT, AMY HAIRSTON, HEO, MOONSEONG · 2015 to 2019
$2.7M
NICHD NIH HHS R01 HD078407NICHD NIH HHS R01 HD082311
6 · The paper itself

Abstract

Excessive gestational weight gain (GWG) is associated with adverse pregnancy outcomes. This metabolome-wide association study aimed to identify metabolomic markers for GWG. This longitudinal study included 39 Black and White pregnant women with a prepregnancy body mass index (BMI) of ≥ 25 kg/m

Indexed as

biomarkersgestational weight gainmetabolomicsobesityoverweightpregnancy

Identifiers

PMID36295862
PMCPMC9609233

What OpenQuestion holds

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Read underepoch 390

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.