Evidence map›Paper›PMID 34615489›Full record

Observational studyBMC pregnancy and childbirth2021

Plasma concentrations of leptin at mid-pregnancy are associated with gestational weight gain among pregnant women in Tanzania: a prospective cohort study.

Dongqing Wang, Anne Marie Darling, Chloe R McDonald, Nandita Perumal, Enju Liu, Molin Wang, Said Aboud, Willy Urassa, Andrea L Conroy, Kyla T Hayford and 3 more

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

13 authors at 9 institutions in 3 countries.

Dongqing WangDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02120, USA. dqwang@hsph.harvard.edu.
Anne Marie DarlingDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02120, USA.
Chloe R McDonaldSandra Rotman Laboratories, University Health Network, Toronto, Ontario, Canada.
Nandita PerumalDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02120, USA.
Enju LiuInstitutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, MA, USA.
Molin WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Said AboudDepartment of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Willy UrassaDepartment of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Andrea L ConroyDepartment of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Kyla T HayfordDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
W Conrad LilesDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Kevin C KainDepartment of Medicine, University of Toronto and University Health Network, Toronto, Ontario, Canada.
Wafaie W FawziDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02120, USA.
Harvard University · USHarvard Global Health Institute · USMuhimbili University of Health and Allied Sciences · TZBoston Children's Hospital · USIndiana University – Purdue University Indianapolis · USJohns Hopkins University · USUniversity Health Network · CAUniversity of Toronto · CAUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational weight gain (GWG) has critical implications for maternal and child health. Inflammation and angiogenesis are implicated in various aspects of maternal metabolism that may play a role in gestational weight gain. The associations of inflammatory, angiogenic, and metabolic pathways with GWG are yet to be elucidated. This study evaluated associations between a panel of inflammatory, angiogenic, and metabolic proteins measured in mid-pregnancy and gestational weight gain.

methodsPregnant women were enrolled from Dar es Salaam, Tanzania, between 2001 and 2004. The participants were enrolled at mid-pregnancy (12 to 27 weeks of gestation) and followed up until delivery. This analysis focused on a cohort of 1002 women who were primigravid, had singleton live births, had longitudinal measures of gestational weight, and whose mid-pregnancy plasma samples underwent analysis for 18 proteins.

resultsHigher plasma concentrations of leptin (mean difference in GWG percent adequacy comparing highest with lowest quartiles: 10.24; 95% CI 3.31, 17.16; p-trend = 0.003) and chitinase-3-like protein-1 (CH3L1) (mean difference in GWG percent adequacy comparing highest with lowest quartiles: 7.02; 95% CI 0.31, 13.72; p-trend = 0.007) were associated with greater GWG in a dose-response pattern. Higher leptin concentrations were associated with a lower risk of inadequate GWG (risk ratio comparing highest with lowest quartiles: 0.77; 95% CI 0.65, 0.91; p-trend = 0.001) and a higher risk of excessive GWG (risk ratio comparing highest with lowest quartiles: 1.57; 95% CI 1.03, 2.39; p-trend = 0.03). Higher CH3L1 concentrations were associated with a higher risk of excessive GWG (p-trend = 0.007). The associations of leptin and CH3L1 with inadequate GWG were stronger during the second than the third trimester. The other 16 proteins examined were not significantly associated with GWG.

conclusionsMid-pregnancy plasma leptin concentrations may be associated with GWG and have clinical predictive utility in identifying women at a higher risk of inadequate or excessive gestational weight gain.

Indexed as

Gestational Weight GainAdultChitinase-3-Like Protein 1Cohort StudiesFemaleHumansLeptinPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdProspective StudiesRandomized Controlled Trials as TopicTanzaniaChitinase-3-Like Protein 1LeptinBiomarkersCH3L1Gestational weightInflammatory proteinsLeptinMetabolic proteinsPregnancySub-Saharan AfricaTanzaniaWeight gain during pregnancy

Identifiers

PMID34615489
PMCPMC8495974
OpenAlexW3203710328

What OpenQuestion holds

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LicenceCC BY
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.