SynthesisJournal of assisted reproduction and genetics2015
A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?
Synthesis in Journal of assisted reproduction and genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
What it found
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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
40 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Blastocyst culture using single versus sequential media in clinical IVF: a systematic review and meta-analysis of randomized controlled trials.Journal of assisted reproduction and genetics · 2016Pooled it
- Different effectiveness of closed embryo culture system with time-lapse imaging (EmbryoScope(TM)) in comparison to standard manual embryology in good and poor prognosis patients: a prospectively randomized pilot study.Reproductive biology and endocrinology : RB&E · 2016Trial
- Multimodal intelligent prediction model for in vitro fertilization.NPJ digital medicine · 2026Article
- The declining efficiency of IVF in the USA.Human reproduction open · 2026Article
- Blastocyst quality and congenital malformation risk in singleton births after frozen embryo transfer.Scientific reports · 2025Article
- Time-Lapse Imaging in IVF: Bridging the Gap Between Promises and Clinical Realities.International journal of molecular sciences · 2025Review
- Could blastocysts derived from abnormal fertilized zygotes be used? A systematic review and meta-analysis.European journal of obstetrics & gynecology and reproductive biology: X · 2025Review
- Viewing early life without labels: optical approaches for imaging the early embryo†.Biology of reproduction · 2024Review
- A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development.Journal of ovarian research · 2024Article
- Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine.Journal of assisted reproduction and genetics · 2024Review
- Automation in ART: Paving the Way for the Future of Infertility Treatment.Reproductive sciences (Thousand Oaks, Calif.) · 2023Review
- Zygote Diameter and Total Cytoplasmic Volume as Useful Predictive Tools of Blastocyst Quality.Geburtshilfe und Frauenheilkunde · 2023Article
- The effect of maternal body mass index on embryo division timings in women undergoing in vitro fertilization.F&S reports · 2022Article
- Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer.Clinical and experimental reproductive medicine · 2022Article
- Article
- Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies.Journal of assisted reproduction and genetics · 2021Article
- Comparison of pregnancy outcomes using a time-lapse monitoring system for embryo incubation versus a conventional incubator in in vitro fertilization: An age-stratification analysis.Clinical and experimental reproductive medicine · 2021Article
- Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.Journal of cellular and molecular medicine · 2021Article
- Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality.Heliyon · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to undertake a critical appraisal of the available evidence for the use of time-lapse imaging for embryo selection in clinical IVF.
methodsA literature search in PubMed, Scopus, Cochrane Central, ClinicalTrials.gov, Current Controlled Trials, and WHO International Clinical Trials Registry Platform was performed to identify randomized controlled trials that investigated the effect of time-lapse embryo selection and/or the time-lapse incubation system on ongoing pregnancy rate. We then performed a systematic review and assessed the relative risks (RRs) and 95 % confidence intervals (CIs) for ongoing pregnancy rates and the risk of bias of the eligible studies.
resultsWe identified four eligible randomized studies, three of which investigated the effect of both time-lapse incubation system and selection on ongoing pregnancy rate; the pooled result revealed a benefit of this intervention (relative risk (RR) 1.20; 95 % CI 1.05-1.37). However, the evidence was judged to be of low quality due to study limitations; a beneficial effect was observed in only one study deemed to be at high risk of bias. The single study assessing the effect of only the time-lapse incubation system revealed a non-significant negative effect (RR 0.71; 95 % CI 0.49-1.03).
conclusionsThe findings from this systematic review of the current evidence do not support routine use of time-lapse technology in clinical IVF. We therefore believe that the use of time-lapse imaging for embryo selection should remain experimental and that couples should not be subject to a surcharge for having their embryos cultured in a time-lapse imaging system. Future studies evaluating this technology in well-designed trials should be performed.
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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.