Evidence map›Paper›PMID 41993990›Full record

ArticleFrontiers in endocrinology2026

Development and validation of a predictive model for early blastocyst formation on day 4 post-fertilization.

Yasong Geng, Fangfang Dai, Haoyang Dai, Linlin Tao, Jing Ma, Jiayi Yin, Bo Zheng

Abstract readValidation Study
In one paragraph

Article in Frontiers in endocrinology, 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. 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

7 authors.

Yasong Geng *Xingtai Key Laboratory of Reproductive Medicine, Xingtai Meihe Reproductive and Genetic Hospital, Xingtai, China.
Fangfang Dai *Xingtai Key Laboratory of Reproductive Medicine, Xingtai Meihe Reproductive and Genetic Hospital, Xingtai, China.
Haoyang DaiXingtai Key Laboratory of Reproductive Medicine, Xingtai Meihe Reproductive and Genetic Hospital, Xingtai, China.
Linlin TaoXingtai Key Laboratory of Reproductive Medicine, Xingtai Meihe Reproductive and Genetic Hospital, Xingtai, China.
Jing MaHebei Key Laboratory of Reproductive Medicine, Hebei Reproductive Health Hospital, Shijiazhuang, Hebei, China.
Jiayi YinInstitute of Biology, Hebei Academy of Sciences, Shijiazhuang, Hebei, China.
Bo ZhengXingtai Key Laboratory of Reproductive Medicine, Xingtai Meihe Reproductive and Genetic Hospital, Xingtai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a predictive model for early blastocyst formation on Day 4 post-fertilization using clinically accessible parameters. Methods: This retrospective cohort of 2,557 patients scheduled for fresh Day 4 embryo transfer was randomly divided into training (n=1,789) and validation (n=768) sets at Xingtai MeiHe Reproductive and Genetic Hospital from January 2021 to December 2025. Early blastocyst formation occurred in 44.9% (training) and 44.1% (validation) of cases. Multivariable logistic regression and nomogram modeling were employed, with model performance assessed via AUC, calibration curves, and decision curve analysis. Results: After multivariable adjustment, the number of Day 3 embryos with >10 blastomeres (aOR=1.668, 95% CI: 1.374~2.025, P<0.001) and those with iDAScore >4.8 (aOR=1.369, 95% CI: 1.190 ~ 1.575, P<0.001) were the only independent predictors of Day 4 early blastocyst formation, while 15 covariates including ovarian reserve markers and sperm parameters showed no significant association (P>0.05). The nomogram integrating Day 3 embryos with >10 blastomeres and iDAScore>4.8 demonstrated robust discrimination (training AUC = 0.782, 95% CI: 0.738 ~ 0.826; validation AUC = 0.773, 95% CI: 0.705 ~ 0.841) with sensitivity of 65.4~65.9% and specificity of 79.6 ~ 81.7%. Calibration curves indicated minimal prediction deviation, and decision curve analysis confirmed clinical net benefits across 18~80% threshold probabilities in the training cohort and 20~93% in the validation cohort. Clinically, early blastocyst formation was associated with superior embryo quality parameters (P<0.001), higher single embryo transfer rates (50.90% vs. 13.96%, P<0.001), and increased clinical (67.65% vs. 59.32%, P<0.001) and ongoing pregnancy rates (59.59% vs. 52.89%, P = 0.006), alongside a lower multiple pregnancy rate (22.50% vs. 31.93%, P<0.001). Multivariable regression confirmed early blastocyst formation as an independent predictor of pregnancy success (clinical pregnancy aOR=1.675, 95% CI: 1.287 ~ 2.180, P<0.001; ongoing pregnancy aOR=1.612, 95% CI: 1.249 ~ 2.080, P<0.001). Conclusion: The validated nomogram accurately predicts Day 4 early blastocyst formation using Day 3 embryo parameters. The presence of early blastocyst formation on Day 4 might indicate suitability for selective Day 4 embryo transfer.

Indexed as

BlastocystEmbryonic DevelopmentEmbryo TransferFertilization in VitroAdultEmbryo Culture TechniquesFemaleHumansNomogramsPregnancyPregnancy RateRetrospective Studiesartificial intelligenceearly blastocystin vitro fertilization-embryo transferongoing pregnancyselective single embryo transfer

Identifiers

PMID41993990
PMCPMC13079057

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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.