Evidence map›Paper›PMID 41803901›Full record

ArticleJournal of ovarian research2026

Putative "ovarian awakening" in diminished ovarian reserve: a multicenter analysis demonstrates indistinguishability from regression to the mean.

Liujing Huang, Yuxing Luo, Yuanying Chen, Xinhong Liang, Shun Liu, Dingyu Liang, Zhibing Deng, Lingling Zhu, Rong Li, Yihua Yang

Abstract readMulticenter Study
In one paragraph

Article in Journal of ovarian research, 2026. 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. 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

10 authors.

Liujing Huang *Center of Reproductive Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
Yuxing Luo *Center of Reproductive Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
Yuanying ChenCenter of Reproductive Medicine, Yulin Maternal and Child Health Hospital, Yulin, Guangxi, 537000, China.
Xinhong LiangCenter of Reproductive Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
Shun LiuSchool of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Dingyu LiangCenter of Reproductive Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
Zhibing DengCenter of Reproductive Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
Lingling ZhuCenter of Reproductive Medicine, Yulin Maternal and Child Health Hospital, Yulin, Guangxi, 537000, China. ylsfyszyxzx@163.com.
Rong LiCenter of Reproductive Medicine, the Third Affiliated Hospital of Guangxi Medical University (Guangxi Clinical Research Center for Reproductive Medicine), China-ASEAN Medical Research Center, China Hospital Development Institute, Shanghai Jiao Tong University, Nanning, Guangxi, 530031, China. lirong@sr.gxmu.edu.cn.
Yihua YangCenter of Reproductive Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China. workyyh@163.com.

Funding

National Natural Science Foundation of China 82571880
6 · The paper itself

Abstract

backgroundIn clinical practice, repeated oocyte retrieval cycles are often necessary for patients with diminished ovarian reserve (DOR). It has been hypothesized that the mechanical stimulation from the initial oocyte pick-up (OPU) procedure might mimic the effect of in vitro activation (IVA), potentially activating dormant follicles and improving outcomes in subsequent cycles. This study aimed to determine whether repeat ovarian stimulation cycles yield superior oocyte and embryological outcomes compared to the initial cycle in patients with DOR.

methodsThis multicenter retrospective cohort study analyzed data from 2,883 DOR patients who underwent at least two ovarian stimulation cycles within 12 months of their initial cycle between 2016 and 2023. Generalized Linear Mixed Models (GLMMs) were employed as the primary analytical method. To formally evaluate the potential impact of regression to the mean (RTM), a simulation-based permutation test was conducted, fitting a null model with only patient-level random intercepts to simulate datasets without any cycle order effect.

resultsGLMM analysis initially indicated that the second and third retrieval cycles yielded significantly more oocytes, 2PN zygotes, transferable embryos, and high-quality embryos compared to the first cycle (all P < 0.05). Mediation analysis suggested that an increase in antral follicle count (AFC) explained over half (51.4%) of the benefit in oocyte yield in the second cycle. However, the formal RTM analysis revealed a consistent numerical trend where the observed “improvement” in oocyte yield was lower than the effect size expected from RTM alone (adjusted effects ranging from − 0.44 to -1.18 oocytes). Crucially, the observed effects were not statistically distinguishable from those generated by the RTM phenomenon (all p-values > 0.49).

conclusionsThe apparent improvement in oocyte yield and embryological outcomes in subsequent cycles for DOR patients, is statistically indistinguishable from the effect expected due to regression to the mean. Caution is warranted in interpreting these outcomes as a genuine biological effect, such as “ovarian awakening”.

Indexed as

Oocyte RetrievalOvarian ReserveOvulation InductionAdultFemaleFertilization in VitroHumansPregnancyRetrospective StudiesDORgeneralized linear mixed modelIVF/ICSI outcomeovarian stimulationregression to the meanrepeated oocytes retrieval

Identifiers

PMID41803901
PMCPMC13085260

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Registered trials

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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.