ReviewContraception2026
Using updated clinical recommendations to support contraceptive decision-making: U.S. medical eligibility criteria for contraceptive use, 2024.
Review in Contraception, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Immediate postpartum long acting reversible contraceptive uptake and associated factors at Asella Referral and Teaching Hospital, Ethiopia.Contraception and reproductive medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesIn August 2024, the U.S. Centers for Disease Control and Prevention updated U.S. Medical Eligibility Criteria for Contraceptive Use (U.S. MEC), which provides recommendations for safe use of contraception for women with certain characteristics and medical conditions. This paper provides a summary of the evidence and context for new and updated U.S. MEC recommendations. STUDY
designThe 2024 U.S. MEC was updated through a rigorous, multi-year process of determining priorities that would have high impact on clinical care, conducting systematic reviews of the evidence, and considering perspectives of health care providers and patients on how the evidence could best support updated recommendations.
resultsNew U.S. MEC recommendations were added for chronic kidney disease, specifically for three subconditions: current nephrotic syndrome, hemodialysis, and peritoneal dialysis. Revisions were made to several existing recommendations, such as those for sickle cell disease, anticoagulant therapy use, various thrombogenic conditions, cirrhosis, liver tumors, solid organ transplantation, and intrauterine device placement in the postpartum period. Updated recommendations include those that reflect decreased safety concerns for some medical conditions (e.g., progestin-only contraception and some liver diseases) and increased safety concerns for others (e.g., combined hormonal contraception and depot medroxyprogesterone acetate for women with sickle cell disease). Recommendations for new contraceptive methods were added.
conclusionsEvidence-based clinical guidelines can be used by health care providers to support patient-centered contraceptive counseling and services and remove unnecessary barriers to accessing and using contraception. Provider tools including a mobile app are available to help with implementation of the updated recommendations. IMPLICATIONS: Keeping U.S. MEC up-to-date is critical for supporting contraceptive decision-making and improving access to contraception and reproductive health care. This includes new research to address current evidence gaps, rigorous methodology for continuous evidence identification and synthesis, state-of-the-art methods for guideline development, and a broad range of dissemination and implementation strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.