Evidence map›Paper›PMID 39013791›Full record

ArticleAmerican journal of epidemiology2025

Prospective transitions in hemoglobin A1c following gestational diabetes using multistate Markov models.

Katharine J McCarthy, Shelley H Liu, Joseph Kennedy, Hiu Tai Chan, Victoria L Mayer, Luciana Vieira, Kimberly B Glazer, Gretchen Van Wye, Teresa Janevic

Abstract read
In one paragraph

Article in American journal of epidemiology, 2025. 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. Review
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.

Katharine J McCarthyDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, NY, United States.ORCID 0000-0002-3257-5664
Shelley H LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, NY, United States.
Joseph KennedyDepartment of Health & Mental Hygiene, Bureau of Vital Statistics, New York City, NY, United States.
Hiu Tai ChanDepartment of Health & Mental Hygiene, Bureau of Vital Statistics, New York City, NY, United States.
Victoria L MayerDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, United States.
Luciana VieiraDepartment of Maternal and Fetal Medicine, Stamford Hospital, Stamford, CT, United States.
Kimberly B GlazerDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, NY, United States.
Gretchen Van WyeDepartment of Health & Mental Hygiene, Bureau of Vital Statistics, New York City, NY, United States.
Teresa JanevicDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, United States.

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Policy levers to reduce racial-ethnic inequities in diabetes after gestational diabetesR01DK134725 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Teresa Janevic · 2023 to 2026
$2.5M
Disparities in glycated hemoglobin during and beyond pregnancy in a population-based cohort of women with gestational diabetesR21DK122266 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JANEVIC, TERESA · 2020 to 2021
$466k
NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK134725NIDDK NIH HHS R21 DK122266Supported by National Institutes of Health R21DK122266
6 · The paper itself

Abstract

We characterized the state-to-state transitions in postpartum hemoglobin A1c levels after gestational diabetes, including remaining in a state of normoglycemia or transitions between prediabetes or diabetes states of varying severity. We used data from the APPLE Cohort, a postpartum population-based cohort of individuals with gestational diabetes between 2009 and 2011, and linked A1c data with up to 9 years of follow-up (n = 34 171). We examined maternal sociodemographic and perinatal characteristics as predictors of transitions in A1c progression using Markov multistate models. In the first year postpartum following gestational diabetes, 45.1% of people had no diabetes, 43.1% had prediabetes, 4.6% had controlled diabetes, and 7.2% had uncontrolled diabetes. Roughly two-thirds of individuals remained in the same state in the next year. Black individuals were more likely to transition from prediabetes to uncontrolled diabetes (adjusted hazard ratio [aHR] = 2.32; 95% CI, 1.21-4.47) than White persons. Perinatal risk factors were associated with disease progression and a lower likelihood of improvement. For example, hypertensive disorders of pregnancy were associated with a stronger transition (aHR = 2.06; 95% CI, 1.39-3.05) from prediabetes to uncontrolled diabetes. We illustrate factors associated with adverse transitions in incremental A1c stages and describe patient profiles that may warrant enhanced postpartum monitoring.

Indexed as

Diabetes, GestationalGlycated HemoglobinPrediabetic StateAdultDisease ProgressionFemaleHumansMarkov ChainsPostpartum PeriodPregnancyProspective StudiesRisk FactorsGlycated Hemoglobinadverse birth outcomesdiabetesgestational diabeteshemoglobin A1cmultistate Markov modelperinatal characteristicssociodemographic characteristics

Identifiers

PMID39013791
PMCPMC12034835

What OpenQuestion holds

Textmetadata
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.