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Enregistrement W4411751800 · doi:10.1093/humrep/deaf097.152

O-152 Intrauterine platelet-rich plasma infusion increases biochemical/clinical pregnancy whilst decreasing miscarriage, resulting in increased live birth/ongoing pregnancy in patients suffering from recurrent implantation failure: A meta-analysis

2025· article· en· W4411751800 sur OpenAlexaff
Eric P. F. Chow, Thomas Obinchemti Egbe, Ting Chow

Notice bibliographique

RevueHuman Reproduction · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMaternal and fetal healthcare
Établissements canadiensManning Diversified Forest Products (Canada)Royal Ottawa Mental Health Centre
Organismes subventionnairesnon disponible
Mots-clésMiscarriagePregnancyMedicineLive birthImplantation failureObstetricsMeta-analysisRecurrent miscarriageInternal medicineInfertilityBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Study question Is intrauterine platelet-rich plasma infusion effective in the treatment of recurrent implantation failure in terms of biochemical pregnancy, clinical pregnancy, miscarriage and live birth/ongoing pregnancy? Summary answer Intrauterine platelet-rich plasma infusion increases biochemical and clinical pregnancy whilst decreasing miscarriage, resulting in increased live birth/ongoing pregnancy in patients suffering from recurrent implantation failure. What is known already It is emerging that one in ten patients undergoing embryo transfers repeatedly fail to conceive, commonly defined as recurrent implantation failure (RIF). Intrauterine autologous platelet-rich plasma infusion (PRP) promotes endometrial and embryonic interaction which is essential for embryo implantation. After the initial promise, subsequent publication of conflicting results led the ESHRE RIF Working Group to not recommend its use. We believe this conclusion was based upon out-of-date meta-analyses with limited numbers of studies and small sample size, including a mixture of controlled clinical trials (i.e. randomized controlled trials and non-randomized controlled trials) that have obscured the true efficacy of PRP. Study design, size, duration We conducted a systematic review and meta-analysis, after a search of OVID MEDLINE and Embase from inception to January 31st 2025. The primary outcomes were biochemical pregnancy, clinical pregnancy, miscarriage and live birth/ongoing pregnancy. All controlled clinical trials comparing intrauterine PRP to control (another standard stimulation cycle) were included. Pooled analyses and subgroup analyses (when appropriate) were conducted, the latter was with differing trial designs of randomized controlled trials versus non-randomized controlled trials in mind. Participants/materials, setting, methods This systematic review was prospectively registered in PROSPERO: CRD42024421275. We followed the Cochrane Handbook recommendations and PRISMA guidelines. The number of events of primary outcomes was entered to calculate the risk ratio and 95%CI with the Mantel-Hansel method and the random-effects model (Cochrane RevMan 5.4). Heterogeneity was assessed via visual inspection of the alignment of 95%CIs in forest plots, Chi-square test and Higgins I2 statistic. Subgroup analysis differences were considered significant at p < 0.05 and I2>80%. Main results and the role of chance We analysed 31 controlled clinical trials (n = 3,813) consisting of 21 randomized controlled trials (n = 2,107) and 11 non-randomized controlled trials (n = 1,706) comparing intrauterine PRP to control (embryo transfer under another standard stimulation cycle). Biochemical pregnancy: A pooled analysis of 20 controlled trials (n = 2,924) showed a modest increase, RR = 1.56(1.38-1.77) with moderate heterogeneity in the forest plot with malalignment of confidence intervals (p = 0.03 and I2=41%). Subgroup analysis with “trial design” in mind demonstrated two distinct homogenous effect sizes with non-overlapping 95%CI in 13 randomized trials (n = 1,489), RR = 1.80(1.56-2.07) compared to 7 non-randomized trials (n = 1,345) RR = 1.35(1.20-1.52); subgroup differences significant at p = 0.003 and I2=88.7%, strongly suggestive as the sole source of heterogeneity/conflict. Clinical pregnancy: A pooled analysis of 30 trials (n = 3,663) showed a modest increase, RR = 1.67(1.47-1.90) with moderate heterogeneity (p = 0.01 and I2=40%). Subgroup analysis demonstrated two distinct homogenous effect sizes with non-overlapping 95%CI in 19 randomized trials (n = 1,957), RR = 1.93(1.69-2.20) compared to 11 non-randomized trials (n = 1,706) RR = 1.40(1.21-1.62); subgroup differences p = 0.002 and I2=90.0%, strongly suggestive as source of heterogeneity/conflict. Miscarriage: Loss of biochemical pregnancy in 9 randomized trials (n = 387), RR = 0.51(0.33-0.78, p = 0.002) and loss of clinical pregnancy in 10 randomized trials (n = 367) RR = 0.44(0.23-0.85, p = 0.01), both significantly in favour of PRP. Live birth/ongoing pregnancy: 10 randomized trials (n = 1,130), RR = 2.36(1.50-3.71, p = 0.0002). Limitations, reasons for caution A systemic flaw exists in the non-randomized controls (retrospective cohorts, patients refusing consent to therapy, patients without RIF, or having their first in-vitro fertilization attempt). This has led to apples-to-oranges comparisons that have obscured the true efficacy of intrauterine PRP. Interpretation of the latter should be conducted within randomized trials. Wider implications of the findings The current review is an up-to-date analysis of the largest sample of clinical trials regarding RIF therapy. This review allows clinicians to confidently inform patients that intrauterine PRP can increase the chance of achieving pregnancy, with less likelihood of miscarriage and hence can double the chance of a live birth. Trial registration number No

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,045
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,056
Tête enseignante GPT0,347
Écart entre enseignants0,291 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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