ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2026
The effect of laser-assisted hatching on clinical outcomes of frozen-thawed embryo transfer at different embryo ages.
Article in European journal of obstetrics & gynecology and reproductive biology: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the impact of laser-assisted hatching (LAH) on clinical outcomes in patients undergoing frozen-thawed embryo transfer (FET) cycles with embryos at different developmental stages. Methods: We conducted a retrospective analysis of 2208 patients who underwent vitrification-thawed FET at our reproductive center between October 2018 and June 2024, with some patients contributing multiple cycles. Patients were stratified by embryonic developmental stage into cleavage-stage FET (n = 793) and blastocyst-stage FET (n = 1415) groups. Each group was further subdivided based on post-thawing LAH implementation: Non-LAH and LAH subgroups (cleavage-stage: Non-LAH (n = 363) vs. LAH (n = 430); blastocyst-stage: Non-LAH (n = 532) vs. LAH (n = 883)). Embryological parameters and clinical outcomes were compared across subgroups. Binary logistic regression analysis was performed to assess the impact of LAH on live birth rates after adjusting for confounding factors. Results: In cleavage-stage FET, LAH group had higher clinical pregnancy rate (39.3% vs 27.5%), implantation rate (25.2% vs 17.7%) and live birth rate (25.8% vs 19.8%) than Non-LAH group (P < 0.05), but lower multiple pregnancy rate (5.9% vs 15.0%, P < 0.05). In blastocyst-stage FET, the LAH group had a higher clinical pregnancy rate (67.6% vs 58.5%) and implantation rate (65.0% vs 52.3%) than the Non-LAH group (P < 0.001). There were no statistically significant differences in the miscarriage rate, birth defect rate, and singleton birth weight between the LAH group and the Non-LAH group of different embryo ages (P > 0.05). Binary logistic regression analysis showed that after adjusting for confounding factors, LAH could increase the live birth rate of patients with cleavage FET (OR=1.529, 95% CI=1.081-2.162, P = 0.016). However, it had no effect on the live birth rate of FET patients at the blastocyst stage (OR=0.988, 95% CI=0.794-1.230, P = 0.914). Conclusion: In the FET cycles, LAH can improve the live birth rate of patients undergoing cleavage-stage FET, especially for women aged ≥ 35 years or those with ≤ 2 previous transfers, but has no significant effect on the live birth rate of patients undergoing blastocyst-stage FET. LAH did not increase the risk of perinatal outcomes in either the cleavage-stage or blastocyst-stage embryo transfer.
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.