Evidence map›Paper›PMID 33894387›Full record

ArticleAnnals of epidemiology2021

Comparison of methods for interpolating gestational weight gain between clinical visits in twin and singleton pregnancies.

Michelle C Dimitris, Jennifer A Hutcheon, Robert W Platt, Katherine P Himes, Lisa M Bodnar, Jay S Kaufman

Abstract read
In one paragraph

Article in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Michelle C DimitrisDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada. Electronic address: michelle.dimitris@mail.mcgill.ca.
Jennifer A HutcheonDepartment of Obstetrics & Gynaecology, University of British Columbia, Vancouver, British Columbia Canada.
Robert W PlattDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.
Katherine P HimesDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Lisa M BodnarDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
Jay S KaufmanDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.

Funding

Innovative Approaches to Inform Evidence-Based Pregnancy Weight Gain GuidelinesR01HD072008 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2013 to 2016
$2.4M
Innovative approaches to inform evidence-based pregnancy weight gain guidelinesR01HD094777 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2018 to 2021
$2.1M
Informing Evidence-based Maternal Weight Gain Guidelines for Twin PregnanciesR01NR014245 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BODNAR, LISA M, HUTCHEON, JENNIFER ANNE · 2013 to 2016
$1.9M
CIHRNICHD NIH HHS R01 HD072008NICHD NIH HHS R01 HD094777NINR NIH HHS R01 NR014245
6 · The paper itself

Abstract

purposeResearchers are interested in studying longitudinal patterns of gestational weight gain, yet this requires daily/weekly weights, and maternal weight is measured only during prenatal visits. We evaluated the relative accuracy and precision of methods for estimating maternal weight gain between prenatal visits among twin and singleton pregnancies.

methodsWe analyzed cohorts of dichorionic twin and singleton pregnancies delivered from 1998-2013 in Pittsburgh, Pennsylvania. We mimicked a typical study by retaining pre-pregnancy, first prenatal visit, glucose screening visit, and delivery weights, using these to fit interpolation models, estimating weight throughout pregnancy using 16 different methods, and calculating the difference in kilograms between predicted and measured values among remaining weights. We evaluated the performance of each model by calculating root mean squared error (RMSE).

resultsRMSE ranged from 1.55 to 6.09 kg in twins (n = 2067) and 1.45 to 4.87 kg in singletons (n = 7331). The most accurate and precise methods incorporated restricted cubic splines, random intercepts and slopes for pregnancy, and internal knots demarcating trimesters/quantiles (RMSE = 1.55/1.56 kg in twins, 1.45/1.45 kg in singletons), while individual-level linear interpolation between proximal measurements also performed well.

conclusionsAccuracy and precision of methods for estimating maternal weight gain between measurements differed by model, and were best among individually-tailored and flexible models.

Indexed as

Gestational Weight GainFemaleGestational AgeHumansPregnancyPregnancy TrimestersPregnancy, TwinTwins, DizygoticPregnancyStatistical modelsTwinsWeight gain

Identifiers

PMID33894387
PMCPMC8355187

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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.