Evidence map›Paper›PMID 32296829›Full record

ArticleHuman reproduction (Oxford, England)2020

Preimplantation loss of fertilized human ova: estimating the unobservable.

Allen J Wilcox, Quaker Harmon, Kevin Doody, Don P Wolf, Eli Y Adashi

Open access · bronzeAbstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Genomics of pregnancy loss.Journal of assisted reproduction and genetics · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Selfish evolution of placental hormones.Evolution, medicine, and public health · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Closing the circle of reverse genetics in reproductive medicine.Journal of assisted reproduction and genetics · 2020
    Article
  15. Correction to: Dealing with loss of life across the spectrum of humankind.Journal of assisted reproduction and genetics · 2020
    Article
  16. 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

5 authors at 4 institutions in 1 country.

Allen J WilcoxEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
Quaker HarmonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
Kevin DoodyCenter for Assisted Reproduction, Bedford, TX, USA.
Don P WolfDept. Obstetrics and Gynecology, Oregon Health and Science University, Portland, OR, USA.
Eli Y AdashiDept. Obstetrics and Gynecology, Brown University, Providence, RI, USA.
National Institute of Environmental Health Sciences · USBrown University · USCARE Fertility · USOregon Health & Science University · US

Funding

Epidemiologic Study Of Reproductive Outcomes And Environmental ExposuresZIAES044003 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WILCOX, ALLEN J · 2009 to 2020
$4.7M
6 · The paper itself

Abstract

study questionWhat proportion of fertilized human ova are lost before implantation? SUMMARY ANSWER: An estimated 40 to 50% of fertilized ova fail to implant. WHAT IS KNOWN ALREADY: Preimplantation loss is not detectable with current technology. Published estimates of preimplantation loss range from 10 to 70%. STUDY DESIGN, SIZE, DURATION: We combine data from epidemiologic, demographic, laboratory and in vitro fertilization studies to construct an empirical framework for the estimation of preimplantation loss. This framework is summarized in a user-friendly Excel file included in supplement. PARTICIPANTS/MATERIALS, SETTING,

methodsWe draw from multiple sources to generate plausible estimates of fecundability, sterility, transient anovulation, intercourse patterns and the proportion of ova fertilized in the presence of sperm. We combine these estimates to generate a summary estimate of preimplantation loss. This estimate can be considered an average for couples in their prime reproductive years. MAIN RESULTS AND THE ROLE OF CHANCE: Under a plausible range of assumptions, we estimate that 40 to 50% of fertilized ova fail to implant. LIMITATIONS, REASONS FOR CAUTION: A crucial factor in estimating preimplantation loss is the probability that an ovum will be fertilized when exposed to sperm. Human data are available only from in vitro fertilization (IVF), which may not accurately represent events in vivo. We therefore assume a range of in vivo fertilization rates, from 64% (human IVF data) to 90% (mouse data). WIDER IMPLICATIONS OF THE

findingsOur estimate of preimplantation loss takes into account the biological processes relevant to fertilization and loss. Using this empirical basis for estimation, we find support for the usual assumption that risk of loss is highest in the earliest days following fertilization. Furthermore, this framework can provide improved estimates as better reproductive data become available. To the extent that our estimates are accurate, more fertilized ova are apparently lost in vitro than in vivo, suggesting that further improvements in IVF success rates may be possible. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the Intramural Program of the National Institute of Environmental Health Sciences, NIH. Professor Adashi serves as Co-Chair of the Safety Advisory Board of Ohana Biosciences, Inc. The other authors have no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Indexed as

Embryo ImplantationFertilization in VitroAnimalsFemaleFertilizationHumansMaleMiceOvalbuminSpermatozoaOvalbuminepidemiologyfertilizationimplantationoocyte qualitypregnancy

Identifiers

PMID32296829
PMCPMC8287936
OpenAlexW3016365768

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.