Evidence map›Paper›PMID 42130487›Full record

ArticleHuman reproduction open2026

Cost-effectiveness of time-lapse monitoring with or without the use of embryo selection software compared to routine incubation and selection.

Dorit C Kieslinger, Carlijn G Vergouw, Liliana Ramos, Brigitte Arends, Max H J M Curfs, Els Slappendel, E Hanna Kostelijk, Math H E C Pieters, Dimitri Consten, Marieke O Verhoeven and 18 more

Abstract read
In one paragraph

Article in Human reproduction open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Dorit C KieslingerIVF Center, Amsterdam UMC-Location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9580-1438
Carlijn G VergouwIVF Center, Amsterdam UMC-Location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-1303-642X
Liliana RamosIVF Center, Radboudumc, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-4269-013X
Brigitte ArendsIVF Center, UMC Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0009-0006-0573-5972
Max H J M CurfsIsala Fertility Center, Isala, Zwolle, The Netherlands.ORCID https://orcid.org/0000-0001-5031-3169
Els SlappendelCenter for Fertility, Nij Geertgen, Elsendorp, The Netherlands.ORCID https://orcid.org/0000-0002-9043-2653
E Hanna KostelijkIVF Center, Amsterdam UMC-Location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-0377-0249
Math H E C PietersIVF Center, UMC Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-9457-6021
Dimitri ConstenIVF Center, ETZ, Tilburg, The Netherlands.
Marieke O VerhoevenIVF Center, Amsterdam UMC-Location VUmc, Amsterdam, The Netherlands.
Dagmar E BesselinkIVF Center, Radboudumc, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-9568-9872
Frank BroekmansIVF Center, UMC Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-1366-2727
Ben J CohlenIsala Fertility Center, Isala, Zwolle, The Netherlands.ORCID https://orcid.org/0009-0009-0896-7498
Jesper M J SmeenkIVF Center, ETZ, Tilburg, The Netherlands.ORCID https://orcid.org/0000-0002-3053-0358
Sebastiaan MastenbroekCenter for Reproductive Medicine, Amsterdam UMC-Location AMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-7550-2924
Corry H de KoningCenter for Fertility, Tergooi MC, Blaricum, The Netherlands.
Yvonne M van KasterenCenter for Fertility, NWZ, Alkmaar, The Netherlands.
Etelka MollCenter for Fertility, OLVG, Amsterdam, The Netherlands.ORCID https://orcid.org/0009-0004-0784-2881
Jeroen van DisseldorpCenter for Fertility, St. Antonius, Nieuwegein, The Netherlands.ORCID https://orcid.org/0000-0001-9053-5022
Egbert A BrinkhuisCenter for Fertility, Meander MC, Amersfoort, The Netherlands.
Esther A M KuijperCenter for Fertility, Spaarne Gasthuis, Haarlem, The Netherlands.
W Marchien van BaalCenter for Fertility, Flevo Hospital, Almere, The Netherlands.
Hans G I van WeeringCenter for Fertility, RKZ, Beverwijk, The Netherlands.ORCID https://orcid.org/0000-0002-0894-4124
Paul J Q van der LindenDepartment of Obstetrics, Gynaecology and Reproductive Medicine, Deventer Ziekenhuis, Deventer, The Netherlands.
Marie H GerardsCenter for Fertility, Diakonessenhuis, Utrecht, The Netherlands.
Patrick M BossuytEpidemiology & Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4427-0128
Cornelis B LambalkIVF Center, Amsterdam UMC-Location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-3947-5129
Madelon van WelyCenter for Reproductive Medicine, Amsterdam UMC-Location AMC, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-8263-213X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

study questionIs time-lapse monitoring (TLM) with or without a machine learning selection algorithm for embryo selection cost-effective when compared with conventional culture and selection? SUMMARY ANSWER: Neither TLM with or without the use of machine learning for embryo selection is likely to be cost-effective when compared with the conventional approach. TLM adds cost to IVF treatments without improving clinical results. WHAT IS KNOWN ALREADY: Recent randomized controlled trials (RCTs) provide evidence that TLM is unlikely to increase pregnancy or live birth rates (LBRs) relative to conventional embryo culture and selection. To date no cost-effectiveness analysis of TLM has been published. STUDY DESIGN SIZE DURATION: A cost-effectiveness analysis (CEA) from a healthcare perspective was performed based on data from our multicentre RCT on TLM, which was conducted from 2017 to 2020. Women scheduled for Day 3 single embryo transfer during their first, second, or third oocyte retrieval were included. The trial included three strategies: (i) TLE: embryo selection based on a machine learning algorithm and uninterrupted culture; (ii) TLR: routine morphological embryo selection and uninterrupted culture; and (iii) CON (Control): routine morphological embryo selection and interrupted culture. PARTICIPANTS/MATERIALS SETTING

methodsIn total, 1731 couples were included. The difference in mean costs between treatment groups was calculated with the following cost items: laboratory procedures, laboratory facilities (incubator, disposables, service), embryo transfers, pregnancies, miscarriages, and deliveries. We did not consider costs of stimulation, oocyte retrieval, and IVF/ICSI procedures as these were identical in each group. The effectiveness measure for the CEA was the cumulative LBR. Incremental cost-effectiveness ratios were calculated for direct comparisons between strategies. MAIN RESULTS AND THE ROLE OF CHANCE: The 12-month cumulative LBR rate was similar in the three treatment groups: TLE 48.7%, TLR 48.4%, CON 48.2%. The mean difference in costs was €237 (95% CI: -35 to 508) between TLE and CON, and €55 (95% CI: -203 to 313) between TLR and CON. The incremental cost-effectiveness ratio between TLE and CON for one additional live born was €45 950; for TLR versus CON, it was €26 905. The probability that TLE or TLR are cost-effective was low for all willingness-to-pay level, with several scenarios resulting in comparable findings. LIMITATIONS REASONS FOR CAUTION: This study reports the cost-effectiveness for one time-lapse incubator; however, more systems are currently available. WIDER IMPLICATIONS OF THE

findingsWhile our cost-effectiveness analysis provides evidence that TLM is unlikely to be cost-effective, its use is not inferior to conventional methods in terms of clinical results and can offer certain advantages for IVF laboratories. STUDY FUNDING/COMPETING INTERESTS: The authors received a grant from the Netherlands Organization for Health Research and Development (ZonMw) for the execution of the SelecTIMO study (Health Care Efficiency Research programme grant 843001602). Merck (Germany and the Netherlands) supplied the six time-lapse incubators, funded the laboratory adjustments, and provided technical support and training to laboratory personnel before and during the study. The following declarations of competing interests are outside the submitted work: J.M.J.S. reports research grants from Ferring BV and Merck BV, speakers' fees from Merck BV and travel support for attending meetings from Merck BV and Goodlife BV. C.B.L. reports speaker's honoraria from Merck and Organon (The Netherlands), travel support from Merck and Organon, and was Editor-in-Chief of TRIAL REGISTRATION NUMBER: NTR5423: ICTRP Search Portal (who.int).

Indexed as

cost-effectivenesscostsembryo cultureIVFmachine learningtime-lapse monitoring

Identifiers

PMID42130487
PMCPMC13167187

What Socratic holds

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LicenceCC BY
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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 Socratic graph.