Evidence map›Paper›PMID 32270202›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Modeling Variation in the Reproductive Lifespan of Female Adolescent and Young Adult Cancer Survivors Using AMH.

H Irene Su, Brian Kwan, Brian W Whitcomb, Ksenya Shliakhsitsava, Andrew C Dietz, Shaylyn S Stark, Elena Martinez, Patrick M Sluss, Mary D Sammel, Loki Natarajan

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

H Irene SuDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Sciences and Moores Cancer Center, University of California, San Diego, La Jolla, California.
Brian KwanDivision of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and Moores Cancer Center, University of California, San Diego, La Jolla, California.
Brian W WhitcombDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Massachusetts.
Ksenya ShliakhsitsavaDivision of Pediatric Hematology and Oncology, University of Texas Southwestern, Dallas, Texas.
Andrew C DietzMoores Cancer Center, University of California, San Diego, California.
Shaylyn S StarkMoores Cancer Center, University of California, San Diego, La Jolla, California.
Elena MartinezDepartment of Family Medicine and Public Health and Moores Cancer Center, University of California, San Diego, La Jolla, California.
Patrick M SlussAnsh Labs, Webster, Texas.
Mary D SammelDivision of Biostatistics and Bioinformatics, School of Public Health, University of Colorado, Aurora, Colorado.
Loki NatarajanDivision of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and Moores Cancer Center, University of California, San Diego, La Jolla, California.

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
The Reproductive Window in Young Adult Cancer SurvivorsR01HD080952 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SU, HUI-CHUN IRENE · 2014 to 2018
$2.6M
Medical Research Council MR/N022556/1NCI NIH HHS P30 CA023100NICHD NIH HHS R01 HD080952
6 · The paper itself

Abstract

contextMany female survivors of adolescent and young adult cancers (AYA survivors) have shortened reproductive lifespans. However, the timing and duration of ovarian function after cancer treatment are largely unknown.

objectiveTo model the trajectory of ovarian function over two decades following cancer treatment and evaluate how trajectories vary by treatment gonadotoxicity and age.

designIn a prospective cohort, AYA survivors aged 18-39 at variable times since cancer treatment completion provided dried blood spots (DBS) every 6 months for up to 18 months. Anti-Müllerian hormone (AMH) levels were measured using the Ansh DBS AMH enzyme-linked immunosorbent assay. The mean AMH trajectory was modeled for the entire cohort and separately by treatment gonadotoxicity and age using functional principal components analysis.

results763 participants, mean (standard deviation) enrollment age 33.3 (4.7) and age at cancer diagnosis 25.9 (5.7) years, contributed 1905 DBS samples. The most common cancers were breast (26.9%), lymphoma (24.8%), and thyroid (18.0%). AMH trajectories differed among survivors by treatment gonadotoxicity (low, moderate, or high) (P < 0.001). Following low or moderately gonadotoxic treatments, AMH levels increased over 2-3 years and plateaued over 10-15 years before declining. In contrast, following highly gonadotoxic treatment, AMH levels were lower overall and declined shortly after peak at 2-3 years. Younger age at treatment was associated with higher trajectories, but a protective effect of younger age was not observed in survivors exposed to highly gonadotoxic treatments (Pinteraction < 0.001).

conclusionsIn this large AYA survivor cohort, timing and duration of ovarian function strongly depended on treatment gonadotoxicity and age at treatment. The findings provide novel, more precise information to guide reproductive decision-making.

Indexed as

Cancer SurvivorsModels, BiologicalAdolescentAdultAge FactorsAnti-Mullerian HormoneAntineoplastic AgentsCross-Sectional StudiesDecision MakingDried Blood Spot TestingFemaleHumansNeoplasmsOvarian ReserveOvaryProspective StudiesAnti-Mullerian HormoneAntineoplastic Agentsadolescent and young adult cancerAMHfunctional principal components analysisovarian reservereproductive lifespan

Identifiers

PMID32270202
PMCPMC7329316

What OpenQuestion holds

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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.