Evidence map›Paper›PMID 34816375›Full record

SynthesisReproductive sciences (Thousand Oaks, Calif.)2022

Human Oocyte Morphology and Outcomes of Infertility Treatment: a Systematic Review.

Dmitry Nikiforov, Marie Louise Grøndahl, Julius Hreinsson, Claus Yding Andersen

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Reproductive sciences (Thousand Oaks, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. From Cytoskeletal Remodeling to Oocyte Quality: The Emerging Role of Mechanics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. The effect of laser-assisted incubation on bovineFrontiers in veterinary science · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Identification of a novel mutation inBiochemistry and biophysics reports · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
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

4 authors at 3 institutions in 1 country.

Dmitry NikiforovLaboratory of Reproductive Biology, Fertility Clinic, The Juliane Marie Centre for Women, Children and Reproduction, 2100, RigshospitaletCopenhagen, Denmark. dmitry.nikiforov@regionh.dk.ORCID 0000-0002-8523-3035
Marie Louise GrøndahlDepartment of Obstetrics and Gynaecology, Department of Reproductive Medicine, Copenhagen University Hospital, Herlev Hospital, 2740, Herlev, Denmark.
Julius HreinssonMinerva Fertility Clinic, Kålsängsgränd 10d, 75319, Uppsala, Sweden.
Claus Yding AndersenLaboratory of Reproductive Biology, Fertility Clinic, The Juliane Marie Centre for Women, Children and Reproduction, 2100, RigshospitaletCopenhagen, Denmark.
Herlev Hospital · DKRigshospitalet · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oocyte morphology assessment is easy to implement in any laboratory with possible quality grading prior to fertilization. At present, comprehensive oocyte morphology scoring is not performed as a routine procedure. However, it may augment chances for successful treatment outcomes if a correlation with certain dysmorphisms can be proven. In order to determine a correlation between oocyte morphology and treatment outcome, we performed a systematic search in PubMed and Cochrane Controlled Trials Register following PRISMA guidelines. A total of 52 articles out of 6,755 search results met the inclusion criteria. Dark colour of the cytoplasm (observed with an incidence rate of 7%), homogeneous granularity of the cytoplasm (19%) and ovoid shape of oocytes (7%) appeared to have no influence on treatment outcome. Abnormalities such as refractile bodies (10%), fragmented first polar body (37%), dark zona pellucida (9%), enlarged perivitelline space (18%) and debris in it (21%) are likely to affect the treatment outcome to some extent. Finally, cytoplasmic vacuoles (4%), centrally located cytoplasmic granularity (12%) and clusters of smooth endoplasmic reticulum (4%) negatively impact infertility treatment outcomes. Nonetheless, morphological assessment is informative rather than predictive. Adding oocyte morphology to the artificial intelligence (AI)-driven selection process may improve the precision of the algorithms. Oocyte morphology assessment can be especially useful in oocyte donation cycles, during oocyte freezing for fertility preservation and finally, objective oocyte scoring can be important in cases of very poor treatment outcome as a tool for explanation of results to the patient.

Indexed as

Artificial IntelligenceInfertilityHumansOocyte DonationOocytesZona PellucidaAssisted reproductionHuman oocyteOocyte dysmorphismsOocyte morphologyOocyte quality

Identifiers

PMID34816375
OpenAlexW3216795357

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.