Evidence map›Paper›PMID 32407811›Full record

ArticleContraception2020

An exploratory analysis on the influence of genetic variants on weight gain among etonogestrel contraceptive implant users.

Aaron Lazorwitz, Eva Dindinger, Margaret Harrison, Christina L Aquilante, Jeanelle Sheeder, Stephanie Teal

Open access · greenAbstract read
In one paragraph

Article in Contraception, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Aaron LazorwitzUniversity of Colorado Anschutz Medical Campus, Department of Obstetrics and Gynecology, Division of Family Planning, 12631 E 17th Ave, B198-2, Aurora, CO 80045, USA. Electronic address: aaron.lazorwitz@cuanschutz.edu.
Eva DindingerUniversity of Colorado Anschutz Medical Campus, Department of Obstetrics and Gynecology, Division of Family Planning, 12631 E 17th Ave, B198-2, Aurora, CO 80045, USA. Electronic address: eva.dinginder@cuanschutz.edu.
Margaret HarrisonUniversity of Colorado Anschutz Medical Campus, Department of Obstetrics and Gynecology, Division of Family Planning, 12631 E 17th Ave, B198-2, Aurora, CO 80045, USA. Electronic address: Margaret.harrison@cuanschutz.edu.
Christina L AquilanteUniversity of Colorado Anschutz Medical Campus, Skaggs School of Pharmacy and Pharmaceutical Sciences, Department of Pharmaceutical Sciences, 12850 E Montview Blvd, Aurora, CO 80045, USA. Electronic address: Christina.aquilante@cuanschutz.edu.
Jeanelle SheederUniversity of Colorado Anschutz Medical Campus, Department of Obstetrics and Gynecology, Division of Family Planning, 12631 E 17th Ave, B198-2, Aurora, CO 80045, USA. Electronic address: jeanelle.sheeder@cuanschutz.edu.
Stephanie TealUniversity of Colorado Anschutz Medical Campus, Department of Obstetrics and Gynecology, Division of Family Planning, 12631 E 17th Ave, B198-2, Aurora, CO 80045, USA. Electronic address: Stephanie.teal@cuanschutz.edu.
University of Colorado Anschutz Medical Campus · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
COLORADO WRHR CAREER DEVELOPMENT CENTERK12HD001271 · NICHD · UNIVERSITY OF COLORADO DENVER · PI Saketh R Guntupalli · 1999 to 2026
$8.9M
NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR002535NICHD NIH HHS K12 HD001271
6 · The paper itself

Abstract

objectiveTo identify genetic variants associated with weight gain related to etonogestrel contraceptive implant use. STUDY

designWe conducted a retrospective analysis from a parent pharmacogenomic study of healthy, reproductive-aged women using etonogestrel implants. We reviewed medical records to calculate objective weight changes from implant insertion to study enrollment and asked participants about subjective weight gain (yes/no) during contraceptive implant use. We used genotyping data (99 genetic variants) from the parent study to conduct backward-stepwise generalized linear modeling to identify genetic variants associated with objective weight changes.

resultsAmong 276 ethnically diverse participants, median body-mass index (BMI) was 25.8 kg/m

conclusionGenetic variants in the estrogen receptor 1 (ESR1) do not have known associations with obesity or metabolic syndrome, but there is physiologic plausibility for a progestin-mediated genetic association between ESR1 and weight gain. Additional genetic research is needed to substantiate our findings and elucidate further advances in individualized counseling on the risk of weight gain with exogenous steroid hormones. IMPLICATIONS: Genetic variation in the estrogen receptor 1 gene may account for variability in weight gain among etonogestrel contraceptive implant users. If these findings can be replicated with other progestin-containing medications, we may be able to better individualize contraceptive counseling.

Indexed as

Contraceptive Agents, FemaleAdultDesogestrelDrug ImplantsFemaleHumansRetrospective StudiesWeight GainContraceptive Agents, FemaleDesogestrelDrug ImplantsetonogestrelContraceptionEstrogen receptorEtonogestrelObesityPharmacogenomicsWeight gain

Identifiers

PMID32407811
PMCPMC7483263
OpenAlexW3024979565

What OpenQuestion holds

Textmetadata
LicenceTDM
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.