Preimplantation genetic screening using comprehensive chromosome screening: evidence and remaining challenges
Notice bibliographique
Résumé
Sir, We read with great interest a recent systematic review by Lee et al. published in your journal evaluating the clinical effectiveness of preimplantation genetic diagnosis for aneuploidy in all 24 chromosomes (PGD-A) (Lee et al., 2015). The authors conclude that, for the time being, the role for PGD-A remains uncertain regarding its clinical- and cost- effectiveness. In our opinion, a number of observations need to be addressed with regards to the implication of their findings. First, in order to ensure standard nomenclature in preimplantation genetics, it must be made clear that what the authors refer to as PGD-A is otherwise known as preimplantation genetic screening (PGS). The term ‘PGD’ should be reserved for patients carrying specific genetic disorders in which a preimplantation diagnosis for the abnormality in question is desired. Secondly, the authors reach their conclusion through a systematic review of studies with varied levels of evidence including both randomized control trials (RCTs) and observational studies. In the presence of level I evidence from RCTs, the inclusion of lower level evidence in a systematic review may induce erroneous conclusions and adversely impact clinical practice. A recent systematic review by our team (Dahdouh et al., 2015) restricted only to RCTs dealing with PGS using comprehensive chromosome screening (CCS) technology (Yang et al., 2012; Forman et al., 2013; Scott et al., 2013a) concluded that the use of PGS-CCS for the purpose of embryo selection in good-prognosis patients with normal ovarian reserve was favourable. Implantation rates (IR) were improved in the three RCTs with PGS-CCS following blastocyst biopsy. Using this approach, elective single embryo transfer (eSET) is optimized by improving the chance of delivering a healthy term singleton. With the high IR reported using PGS-CCS, eSET practice should be the standard of care. According to our review, the minimal standard for the success of this technology in today's practice should be having enough experience with embryo biopsy and extended embryo culture, and validating the genetic platforms for CCS in order not to discard normal euploid embryos. We agree that the use of PGS with fluorescence in situ hybridization (FISH) following cleavage-stage biopsy did not confer any advantageous results in IVF practice. However, in our opinion, the reason was not primarily related to the FISH technology, where up to 80% of embryonic aneuploidy can be diagnosed using 12 probes, but rather to the combination of FISH and day-3 embryo biopsy. Cleavage-stage biopsy might have been deleterious on embryo development under certain circumstances (e.g. retrieving two blastomeres, biopsy on poor quality embryos). In level I evidence data comparing day-3 to day-5 embryo biopsies (Scott et al., 2013b), cleavage-stage biopsy was associated with a 39% decrease in implantation potential, whereas no impact on embryo development was observed following blastocyst biopsy. A valid criticism regarding this paper was that IR in both day-3 and day-5 embryos were surprisingly equivalent. However, some investigators reported positive clinical outcomes from RCTs on PGS applied on day-3 embryo biopsy, both with FISH (Rubio et al., 2013) and with array comparative genomic hybridization (aCGH) (preliminary results, ClinicalTrials.gov NCT01571076). Therefore, embryo culture conditions and biopsy media and technique, are key laboratory aspects to consider for the ideal PGS practice. In addition, the authors claim that there are no reports on subsequent embryo transfer cycles following PGS-CCS. However, some authors recently reported increased IR with subsequent euploid frozen blastocyst transfers (Yang et al., 2013). With regards to cost-effectiveness, we agree with the authors that studies performed on the cost of PGS-CCS following at least two embryo transfer cycles compared with control groups will be needed to resolve this matter. Future RCTs on PGS-CCS should be conducted on a multicentre basis, including different geographic locations, different patient populations (e.g. decreased ovarian reserve, advanced maternal age) and different embryo stage biopsy (e.g. day-3 versus day-5). We are witnessing the early days of the development of this new form of PGS; robust evidence is still needed from ongoing RCTs before it is applied on a regular basis.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,068 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,018 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».