Evidence map›Paper›PMID 35143661›Full record

Trial reportHuman reproduction (Oxford, England)2022

A double-blind randomized controlled trial investigating a time-lapse algorithm for selecting Day 5 blastocysts for transfer.

Aisling Ahlström, Kersti Lundin, Anna-Karin Lind, Kristina Gunnarsson, Göran Westlander, Hannah Park, Anna Thurin-Kjellberg, Steinunn A Thorsteinsdottir, Snorri Einarsson, Mari Åström and 11 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Human reproduction (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03445923 (Can Time-lapse Parameters be Used to Predict Pregnancy of Human Embryos?), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

NCT03445923 naterminatednot on this map

Can Time-lapse Parameters be Used to Predict Pregnancy of Human Embryos?

TypeinterventionalSponsorFertilitetscentrum ABRan2018 to 2021Enrolled776ConditionsInfertilityArmsTime lapse monitoring (KID Score)
3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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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

21 authors.

Aisling AhlströmLivio Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-5074-912X
Kersti LundinDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Anna-Karin LindLivio Gothenburg, Gothenburg, Sweden.
Kristina GunnarssonLivio Gothenburg, Gothenburg, Sweden.
Göran WestlanderLivio Gothenburg, Gothenburg, Sweden.
Hannah ParkReproductive Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
Anna Thurin-KjellbergDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Steinunn A ThorsteinsdottirLivio Reykjavik, Reykjavík, Iceland.
Snorri EinarssonLivio Reykjavik, Reykjavík, Iceland.
Mari ÅströmLivio Umeå, Norrlands Universitetssjukhus, Umeå, Sweden.
Kristina LöfdahlLivio Umeå, Norrlands Universitetssjukhus, Umeå, Sweden.
Judith MenezesReproductive Medicine, Karolinska University Hospital, Stockholm, Sweden.
Susanne CallenderLivio Kungsholmen, Stockholm, Sweden.
Cina NybergLivio Kungsholmen, Stockholm, Sweden.
Jens WinerdalLivio Gärdet, Stockholm, Sweden.
Camilla StenfeltLivio Gärdet, Stockholm, Sweden.
Brit-Randi JonassenLivio Oslo, Oslo, Norway.
Nan OldereidLivio Oslo, Oslo, Norway.
Lisa NolteLivio Malmö, Malmö, Sweden.
Malin SundlerLivio Malmö, Malmö, Sweden.
Thorir HardarsonLivio Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

study questionCan use of a commercially available time-lapse algorithm for Day 5 blastocyst selection improve pregnancy rates compared with morphology alone? SUMMARY ANSWER: The use of a time-lapse selection model to choose blastocysts for fresh single embryo transfer on Day 5 did not improve ongoing pregnancy rate compared to morphology alone. WHAT IS KNOWN ALREADY: Evidence from time-lapse monitoring suggests correlations between timing of key developmental events and embryo viability. No good quality evidence exists to support improved pregnancy rates following time-lapse selection. STUDY DESIGN, SIZE, DURATION: A prospective multicenter randomized controlled trial including 776 randomized patients was performed between 2018 and 2021. Patients with at least two good quality blastocysts on Day 5 were allocated by a computer randomization program in a proportion of 1:1 into either the control group, whereby single blastocysts were selected for transfer by morphology alone, or the intervention group whereby final selection was decided by a commercially available time-lapse model. The embryologists at the time of blastocyst morphological scoring were blinded to which study group the patients would be randomized, and the physician and patients were blind to which group they were allocated until after the primary outcome was known. The primary outcome was number of ongoing pregnancies in the two groups. PARTICIPANTS/MATERIALS, SETTING,

methodsFrom 10 Nordic IVF clinics, 776 patients with a minimum of two good quality blastocysts on Day 5 (D5) were randomized into one of the two study groups. A commercial time-lapse model decided the final selection of blastocysts for 387 patients in the intervention (time-lapse) group, and blastocysts with the highest morphological score were transferred for 389 patients in the control group. Only single embryo transfers in fresh cycles were performed. MAIN RESULTS AND THE ROLE OF CHANCE: In the full analysis set, the ongoing pregnancy rate for the time-lapse group was 47.4% (175/369) and 48.1% (181/376) in the control group. No statistically significant difference was found between the two groups: mean difference -0.7% (95% CI -8.2, 6.7, P = 0.90). Pregnancy rate (60.2% versus 59.0%, mean difference 1.1%, 95% CI -6.2, 8.4, P = 0.81) and early pregnancy loss (21.2% versus 18.5%, mean difference 2.7%, 95% CI -5.2, 10.6, P = 0.55) were the same for the time-lapse and the control group. Subgroup analyses showed that patient and treatment characteristics did not significantly affect the commercial time-lapse model D5 performance. In the time-lapse group, the choice of best blastocyst changed on 42% of occasions (154/369, 95% CI 36.9, 47.2) after the algorithm was applied, and this rate was similar for most treatment clinics. LIMITATIONS, REASONS FOR CAUTION: During 2020, the patient recruitment rate slowed down at participating clinics owing to coronavirus disease-19 restrictions, so the target sample size was not achieved as planned and it was decided to stop the trial prematurely. The study only investigated embryo selection at the blastocyst stage on D5 in fresh IVF transfer cycles. In addition, only blastocysts of good morphological quality were considered for transfer, limiting the number of embryos for selection in both groups: also, it could be argued that this manual preselection of blastocysts limits the theoretical selection power of time-lapse, as well as restricting the results mainly to a good prognosis patient group. Most patients were aimed for blastocyst stage transfer when a minimum of five zygotes were available for extended culture. Finally, the primary clinical outcome evaluated was pregnancy to only 6-8 weeks. WIDER IMPLICATIONS OF THE

findingsThe study suggests that time-lapse selection with a commercially available time-lapse model does not increase chance of ongoing pregnancy after single blastocyst transfer on Day 5 compared to morphology alone. STUDY FUNDING/COMPETING INTEREST(S): The study was financed by a grant from the Swedish state under the ALF-agreement between the Swedish government and the county councils (ALFGBG-723141). Vitrolife supported the study with embryo culture dishes and culture media. During the study period, T.H. changed his employment from Livio AB to Vitrolife AB. All other authors have no conflicts of interests to disclose. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov registration number NCT03445923. TRIAL REGISTRATION DATE: 26 February 2018. DATE OF FIRST PATIENT’S ENROLMENT: 11 June 2018.

Indexed as

COVID-19AlgorithmsBlastocystFemaleHumansPregnancyPregnancy RateProspective StudiesTime-Lapse Imagingblastocystembryo selectionIVFsingle embryo transfertime-lapse

Identifiers

PMID35143661
PMCPMC9383441

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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.