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. 2025 May 14;20(5):e0321859. doi: 10.1371/journal.pone.0321859

A systematic review and meta-analysis of the diagnostic accuracy after preimplantation genetic testing for aneuploidy

Vanessa Bacal 1,2,*, Angela Li 1, Heather Shapiro 1,2, Urvi Rana 3, Rhonda Zwingerman 4, Lisa Avery 5,6, Alina Palermo 2, Eleni Philipoppolous 7, Crystal Chan 1,8
Editor: Qinghua Shi9
PMCID: PMC12077728  PMID: 40367147

Abstract

Objective

Aneuploidy accounts for many pregnancy failures and congenital anomalies. Preimplantation genetic testing for aneuploidy (PGT-A) is a screening test applied to embryos created from in vitro fertilization to diminish the chance of an aneuploid conception. The rate of misdiagnosis for both false aneuploidy (false positive) and false euploidy (false negative) test results is unknown. The objective of this study was to determine the rate of misclassification of both aneuploidy and euploidy after PGT-A.

Data sources

We conducted a systematic review and meta-analysis. We searched Medline, Embase, Cochrane Central, CINAHL and WHO Clinical Trials Registry from inception until April 10, 2024. The protocol was registered in International Prospective Register of Systematic Reviews (PROSPERO CRD 42020219074).

Methods of study selection

We included studies that conducted either a pre-clinical validation of the genetic platform for PGT-A using a cell line, studies that compared the embryo biopsy results to those from the whole dissected embryo or its inner cell mass (WE/ICM), and studies that compared the biopsy results to prenatal or postnatal genetic testing.

Tabulation, Integration, and Results

Two independent reviewers extracted true and false positives and negatives comparing biopsy results to the reference standard (known karyotype, WE/ICM, pregnancy outcome). For preclinical studies, the main outcome was the positive and negative predictive values. Misdiagnosis rate was the outcome for pregnancy outcome studies. The electronic search yielded 6674 citations, of which 109 were included. For WE/ICM studies (n=40), PPV was 89.2% (95% CI 83.1-94.0) and NPV was 94.2% (95% CI 91.1-96.7, I2=42%) for aneuploid and euploid embryos, respectively. The PPV for mosaic embryos of either a confirmatory mosaic or aneuploid result was 52.8% (95% CI 37.9-67.5). For pregnancy outcome studies (n=43), the misdiagnosis rate after euploid embryo transfer was 0.2% (95% CI 0.0-0.7%, I2=65%). However, the rate for mosaic transfer, with a confirmatory euploid pregnancy outcome, was 21.7% (95% CI: 9.6-36.9, I2=95%).

Conclusion

The accuracy of an aneuploid result from PGT-A is excellent and can be relied upon as a screening tool for embryos to avoid aneuploid pregnancies. Similarly, the misdiagnosis rate after euploid embryo transfer is less than 1%. However, there is a significant limitation in the accuracy of mosaic embryos.

Introduction

Aneuploidy accounts for most miscarriages, as well as congenital anomalies and implantation failure in women [1]. Preimplantation genetic testing for aneuploidy (PGT-A) is a screening test that is applied to embryos created by in vitro fertilization (IVF). Using PGT-A should optimize implantation and live birth rates per embryo transfer, and decrease miscarriage rates [2]. In current practice, embryos are cultured to the blastocyst stage, at which point five to ten cells are biopsied from the embryos and DNA is extracted to perform genetic testing. Embryos that screen negative (i.e., euploid or chromosomally normal) are preferentially selected for transfer. Those that screen positive (i.e., aneuploid or chromosomally abnormally) are not selected for transfer, and patients are usually advised to discard them. A third category of embryos are those that screen mosaic, which is defined as a combination of both euploid and aneuploid cells [3]. Because the reproductive potential and implications of transferring these embryos are complex, they are prioritised below a euploid embryo.

False negative results occur and lead to ongoing aneuploid pregnancies and aneuploid pregnancy losses [4,5]. In vitro studies have also demonstrated false positive PGT-A results, as embryos initially screened as aneuploid have been demonstrated to be euploid upon resampling [6,7]. Sources of error with PGT-A include human factors (misinterpretation of results, transfer of the wrong embryo), technical factors (DNA contamination, screening platform utilized, biopsy technique), intrinsic sampling error (e.g., from embryo mosaicism), and the chance of spontaneous conception around the time of transfer [8,9].

To validate PGT-A as a selection tool for ET, and to aid in patient counselling, the risk of an aneuploid pregnancy after euploid ET, as well as the risk of euploidy after initial aneuploidy classification should be known.

The first objective of this systematic review and meta-analysis was to assess the false negative rate of PGT-A (where embryos screened as euploid are actually aneuploid), and to estimate the chance of error with PGT-A using clinical studies on aneuploid conceptions after euploid embryo transfers. The second objective was to assess the false positive rate of PGT-A (where embryos initially screened as aneuploid are actually euploid) using studies that evaluated pregnancy outcomes after aneuploid embryo transfer, clinical non-selection studies, and in vitro studies that involved resampling of embryos.

Materials and methods

Eligibility criteria

For the first objective, we included studies that reported on outcomes of patients who underwent PGT-A with subsequent embryo transfer. We assessed studies that performed genetic testing of ongoing pregnancies (via amniocentesis or genetic testing of infants), genetic testing of products of conception after euploid ET with subsequent pregnancy loss, or physical examination of infants. While most aneuploid pregnancies will not continue to term and most aneuploid individuals have clear phenotypic abnormalities, not all do (e.g., XXX, XXY), nor would all children with true chromosomal mosaicism. We therefore excluded studies that only described “healthy infants” without a description of either genetic analysis or examination findings to verify the initial PGT-A screening diagnosis.

For the second objective, we included studies evaluating embryos with an aneuploid or mosaic result after PGT A, that were either rebiopsied, had genetic testing of pregnancy, pregnancy loss. This group also included embryos in a research setting that underwent TE biopsy with comparison to either its ICM or whole dissected embryo (WE). However, where studies only rebiopsied the TE, Finally, we included preclinical studies of cell lines with known karyotypes that evaluated the efficiency and reliability of the PGT-A testing platform.

We included case series, (with three or more patients), case control studies, cohort studies, non-selection studies, and randomized controlled trials. We included all studies with sufficient detail in their validation for replication. As we anticipated that many studies, particularly the pre-clinical designs, would demonstrate high validity of the testing platform and would not proceed to publication, we elected to include abstracts if full length manuscripts were not available, provided there was sufficient information for narrative review and/or a two-by-two table. There were no restrictions by type of setting, or length of follow-up, however, we only included studies reported in English and French. Studies were excluded if the reference test was a screening test rather than a diagnostic test (for example, non-invasive prenatal screening), case reports, case series with fewer than three patients, or studies validating either PGT for monogenic disorders (PGT-M) or for structural rearrangements (PGT-SR) only without a concurrent PGT-A analysis. Studies that used fluorescence in situ hybridization (FISH) either as the index test or reference standard were excluded, because it has been replaced by 24 chromosome analysis (comprehensive chromosome screening, CCS) [10,11].

Outcomes

The outcomes of interest included positive predictive value of an aneuploid or mosaic embryo, and the negative predictive value of a euploid embryo. For pregnancy outcomes, we considered prenatal diagnosis, products of conception, neonatal testing or examination as the reference standard. For rebiopsy studies, we considered the ICM or WE as the reference standard. For the preclinical studies, we considered the known karyotype of the cell lines to be the reference standard.

Information sources

We developed a comprehensive search strategy with relevant keywords and MeSH terms with the guidance of an information specialist, tailored to Medline and applied to Embase, Cochrane Central, WHO Clinical Trials Registry and ClinicalTrials.gov from inception until April 10, 2024. Specific keywords include preimplantation genetic testing, aneuploidy, chromosomal aberrations, false negative and false positive, sensitivity, specificity, predictive value, validity (S1 File). We imported and managed studies in Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia; available at www.covidence.org).

Screening

The screening was performed in two stages, initially with title and abstract followed by evaluation of full texts, by two independent reviewers (VB and UR/AL) according to the eligibility criteria. We resolved disagreements by consensus. Where consensus could not be reached, the final decision was made by a senior author (CC). Reasons for exclusion were documented (S2 File).

Data extraction

We extracted all relevant information from studies that meet final inclusion criteria including study design, sample size, primary outcome, PGT-A platform used, transfer of one or two embryos, completeness of follow up, type of POC testing (karyotype vs array), type of testing of ongoing pregnancies (chorionic villus sampling (CVS), amniocentesis, cord blood, physical exam of newborn), and key study findings (estimation of error rate). Two independent reviewers (VB and AL) extracted and compared the data in duplicate from the selected studies. We resolved discrepancies by consensus.

Data analysis

Quality of individual studies was determined using the QUADAS-2 tool for diagnostic accuracy [12]. Where data could be synthesized quantitatively, we performed a meta-analysis using a random effects model with the meta package in R software version 4.2.1 [13]. The specific outcomes we analyzed included false negative, false positive, negative predictive value and positive predictive value, with the reference test as the genetic testing from an ongoing pregnancy or the infant, or the resampled embryo in the event of the initial aneuploidy diagnosis. Where data were missing, only selected measures of diagnostic accuracy were calculated provided sufficient information was available. If insufficient information to estimate any measures of diagnostic accuracy, a narrative review only was conducted. We have reported I2, a measure of heterogeneity across studies where values > 75% indicate high variability across study results. To contextualise the heterogeneity, we have also computed prediction intervals, which indicate the range of effect sizes we would expect to see in a new study. Wide prediction intervals indicate high uncertainty in future results. We performed subgroup analyses evaluating the impact of cleavage stage biopsy (day three) vs blastocyst biopsy (day five to seven), and genetic platform used to perform PGT-A (next generation sequencing (NGS), array comparative genomic hybridization (aCGH), single-nucleotide polymorphisms (SNP) microarray, or polymerase chain reaction (PCR)), and publication type. For pregnancy outcomes, the denominator is incalculable due to inability to validate each embryo transferred either due to failed implantation, early pregnancy loss, or failure to obtain a DNA sample from the pregnancy or infant. We therefore reported the misdiagnosis rate, defined by the number of false negatives (for euploid ET) or false positives (for aneuploid or mosaic ET) divided by total number of embryos transferred, as previously described [4].

The protocol was registered in International Prospective Register of Systematic Reviews (PROSPERO CRD 42020219074) and was reported according to Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) statement [14].

Results

The electronic search yielded 6674 citations, of which 109 met the inclusion criteria (Fig 1). We included 19 pre-clinical validation studies [1537], 40 that compared the TE biopsy to the ICM or WE [6,7,24,25,3873], and 56 clinical studies that investigated pregnancy outcomes after ET [4,5,7,16,27,57,74123]. Studies that conducted a mixed design (i.e., cell line pre-clinical validation and pregnancy outcomes) were extracted and meta-analyzed separately in their appropriate category. Preclinical studies are described in S3 File. Results are available in S1–S3 Tables and S1S3 Fig.

Fig 1. PRISMA flow diagram.

Fig 1

Whole embryo or inner cell mass

We included 40 studies in the meta-analysis (Table 1). Two studies evaluated cleavage stage results (two evaluated at both cleavage and blastocyst stage), and the remaining studies evaluated blastocyst stage embryos (trophectoderm biopsy). The point estimate of the NPV was 94.2% (95% CI 91.1–96.7, I2 = 42%) with a prediction interval of 86.2 to 98.9. This means that that the probability of an embryo being euploid if there was a negative test result is > 86% (Fig 2a). The PPV of an aneuploid result was 89.2% (95% CI 83.1–94.0) with a wide prediction interval (42.0–100.0) (Fig 2b). Nine studies evaluated the concordance among mosaic screened embryos, [25,45,56,57,6264,68,70], which was typically defined by percentage of aneuploid cells (20–80%) (Table 2). The overall PPV for mosaic embryos was 52.8% (95% CI 37.9, 67.5) with a wide prediction interval of 11.7 to 91.7 (Fig 2c). Other measures of diagnostic accuracy are presented in S4 Fig. Two-by-two table is available in S4–S5 Tables.

Table 1. Characteristics of whole embryo or ICM studies.

Study Publication type Country Number of patients Number of embryos tested Patient population Mean female age (years) Stage of embryo development at biopsy Initial diagnosis Index test: Method of aneuploidy detection (initial TE biopsy) Reference standard: Method of aneuploidy detection Reference standard
Brezina PR 201238 Conference abstract USA, China 22 228 Patients who underwent IVF with PGT-A for recurrent pregnancy loss Not described Cleavage stage (Day 3) Aneuploid SNP microarray SNP microarray ICM biopsy
Chavli EA 202239 Full text China 12 Not described Patients who underwent PGT-A ± PGT-SR 30.8; Range: 24–43 Blastocyst (Day 5–6) Aneuploid or mosaic NGS NGS ICM biopsy
Chen J 202140 Full text China Not described 265 Not described Range: 24–39 Blastocyst (Day 5–6) Undiagnosed NGS NGS Whole embryo
Chen L 202141 Full text Taiwan 12 Not described Patients who underwent IVF/ICSI for infertility who had achieved a successful live birth and donated unused blastocysts. 34.4; Range 26–43 Blastocyst (Day 5) Undiagnosed NGS NGS ICM biopsy
Chuang T-H 201842 Conference abstract Brazil Not described Not described Not described Not described Blastocyst (Day 5) Aneuploid Not described NGS Whole embryo
Franco JG 202343 Conference abstract USA Not described Not described Not described Not described Blastocyst Aneuploid or euploid Not described NGS Whole embryo
Friedenthal J 202144 Conference abstract USA Not described Not described Not described Not described Blastocyst Aneuploid or mosaic NGS NGS ICM biopsy
Garrisi G 201645 Full text Italy Not described 8137 Patients who underwent IVF with PGT-A for infertility 38 (±3); Range: 31–44 Blastocyst Segmental aneuploid or euploid NGS NGS ICM biopsy
Girardi L 202046 Full text USA 2 Not described Not described Not described Blastocyst (confirmed by author) Aneuploid NGS Array CGH Whole embryo
Gleicher N 20167 Full text Australia Not described 14075 Patients who underwent PGT-A ± PGT-M Not described Blastocyst (Day 5–6) Aneuploid NGS NGS ICM biopsy
Grkovic S 202247 Full text China 13 Not described Patients with parental chromosomal rearrangement Not described Blastocyst Unbalanced or developmental arrest NGS NGS ICM biopsy
Gui B 201648 Conference abstract USA Not described 34210 Not described 36.7 (± 4.2) Blastocyst Chromosomal deletions, euploid and aneuploid NGS NGS ICM biopsy
Hruba M 201849 Full text China 23 Not described Patients who underwent PGT-A ± PGT-SR for either recurrent pregnancy loss or parental balanced translocations Range: 24–44 Blastocyst Aneuploid or unbalanced Array CGH NGS ICM biopsy
Huang J 201750 Full text USA 13 52 Patients who underwent IVF with PGT-A for infertility; three patients had a parental balanced translocation 35 Blastocyst (Day 5–6) Undiagnosed NGS NGS Whole embryo
Huang L 201951 Conference abstract Russia Not described Not described Not described Not described Blastocyst Aneuploid Array CGH Array CGH ICM biopsy
Kaimonov V 201952 Full text Canada 26 Not described Not described 37.5 (± 5.8); Range 25–45 Blastocyst (Day 5–6) Aneuploid NGS NGS Whole embryo
Kuznyetsov V 201853 Full text United Arab Emirates 42 Not described Patients who underwent IVF/ICSI with PGT-A for infertility 33.9; Range: 24–46 Blastocyst (Day 5–6) Undiagnosed NGS NGS ICM biopsy
Lawrenz B 201954 Conference abstract USA 2766 Not described Patients who donated surplus embryos Not described Blastocyst Aneuploid, segmental aneuploid or euploid NGS NGS ICM biopsy
Lee R 202255 Full text China 22 3738 Patients who underwent IVF with PGT-A ± PGT-SR. 11 patients had parental karyotype abnormality Not described Blastocyst (Day 5–6) Aneuploid or mosaic Array CGH (2014–2017); NGS (2018–2019) NGS Whole embryo
Li X 202156 Full text Taiwan 108 Not described Patients who underwent IVF with PGT-A for infertility, recurrent pregnancy loss, or combined PGT-M Not described Blastocyst (Day 5–6) Mosaic NGS NGS ICM biopsy
Lin P-Y 202057 Full text China, USA 51 258 Patients who underwent IVF with PGT-A for either infertility with recurrent pregnancy loss or advanced reproductive age Not described Blastocyst (Day 5–6) Aneuploid Array CGH Array CGH ICM biopsy
Liu J 201258 Full text Spain 29 92 Patients who underwent IVF with PGT-A for infertility or recurrent pregnancy loss 41.3 (± 3.4) Blastocyst (Day 5–6) Aneuploid NGS NGS ICM biopsy
Lledo B 202159 Full text USA Not described Not described Not described Not described Blastocyst Aneuploid PCR PCR ICM biopsy
Marin D 201724 Full text Spain 58 Not described Not described 38.6 (Day 3 cleavage); 36.9 (Day 5 blastocyst) Cleavage stage (Day 3) or Blastocyst (Day 5) Aneuploid Array CGH Array CGH Whole embryo
McCarty K 202260 Full text USA Not described 89226 Patients who underwent IVF with PGT-A and donated surplus embryos 35.5 Blastocyst Aneuploid, segmental aneuploid, or euploid NGS NGS Whole embryo
Mir P 201661 Full text Czech Republic 65 Not described Not described Not described Blastocyst Aneuploid or euploid NGS NGS Whole embryo
Navratil R 202062 Full text Israel 8 Not described Patients who underwent IVF with combined PGT-M and PGT-A for monogenic disease 33.1; Range 26–41 Blastocyst (Day 5) Undiagnosed NGS NGS Whole embryo
Orvieto R 20166 Full text China 18 Not described Patients who underwent IVF with combined PGT-SR and PGT-A for parental karyotype abnormality (balanced or Robertsonian translocation, or chromosome inversion) 31.3 Blastocyst (Day 5–6) Abnormal result after PGT-SR NGS NGS Whole embryo
Ou Z 202063 Full text Belgium 43 Not described Not described 32.2; Range 23–39 Blastocyst (Day 5–6) Aneuploid and untested NGS NGS ICM biopsy
Popovic M 201825 Full text The Netherlands, Belgium 51 Not described Not described 32.8; Range 23–42 Blastocyst (Day 5) Aneuploid and untested NGS NGS Whole embryo
Popovic M 201964 Full text 8 different centres in Europe, North America, South America, Asia 41 Not described Patients who underwent IVF with PGT-A for infertility, recurrent pregnancy loss, previous karyotypically abnormal conception, or gender selection 36.4 ± 5.2; Range 20–44 Blastocyst (Day 6–7) Aneuploid NGS NGS ICM biopsy
Rubio C 202065 Full text USA 17 Not described Not described 39.5 ± 3.3 Blastocyst (Day 5–7) Euploid and aneuploid NGS NGS for 15 embryos; array CGH for 2 embryos ICM biopsy
Sachdev NM 202066 Full text Japan 12 20 Patients who underwent IVF for infertility and donated surplus embryos 35.6 Blastocyst (Day 5–6) Untested NGS NGS Whole embryo
Shitara A 202167 Full text Japan 11 29 Patients who underwent IVF for infertility and donated surplus embryos 34.7 ± 2.7 Blastocyst (Day 6–7) Untested NGS NGS Whole embryo
Takahashi H 202168 Full text USA Not described 96 Not described Not described Cleavage stage and blastocyst Undiagnosed Array CGH Array CGH Whole embryo
Tobler KJ 201569 Full text Russia, Estonia 14 16 Not described Not described Blastocyst Undiagnosed NGS NGS ICM biopsy
Tsuiko O 201870 Full text USA 45 Not described Patients who underwent IVF with PGT-A for infertility 36.5 ± 5.7 Blastocyst Aneuploid NGS NGS ICM biopsy
Victor AR 201971 Full text China 380 1719 Not described 31 ± 4.4; Range: 23–44 Blastocyst (Day 5–6) Mosaic NGS NGS ICM biopsy
Wu L 202172 Full text China Not described Not described Patients who underwent IVF with PGT-A for infertility Not described Blastocyst Aneuploid Array CGH NGS ICM biopsy
Yin B 202173 Full text China Not described Not described Patients who underwent IVF with PGT-A for infertility and donated surplus embryos Not described Blastocyst Aneuploid Array CGH NGS Whole embryo

CGH: Comparative genomic hybridization; ICM: Inner cell mass NGS: Next generation sequencing; PGT-A: Preimplantation genetic testing for aneuploidy; PGT-M: Preimplantation genetic testing for monogenic diseases; PGT-SR: Preimplantation genetic testing for structural rearrangements; PCR: Polymerase chain reaction; SNP: Single nucleotide polymorphism.

Fig 2. Forest plots for whole embryo or ICM studies.

Fig 2

a. Negative predictive value of euploid embryos. b. Positive predictive value of aneuploid embryos. c. Positive predictive value of mosaic embryos.

Table 2. Mosaicism level and karyotype concordance of whole embryo/ICM studies.

Study Mosaicism level Karyotype concordance Notes
Brezina PR 201238 Not described
Chavli EA 202239 20-80% 8 partial concordance and 1 complete concordance Detected mosaicism in 59% of embryos
Chen J 202140 40-70%; 30% for chr13, chr16, chr18, chr 21 3 false were mosaic embryos in the TE 30–50%; 2 embryos had partial karyotype concordance with ICM
Chen L 202141 Not described 5209/5267 (97.6%) of chromosome sets were consistent by ploidy 9 embryos failed to amplify
Chuang T-H 201842 20-80% 25/29 embryos were completely concordant Segmental imbalances > 10 Mb was considered segmental aneuploidy; 2 failed amplifications in TE1 and 2 failed in ICM. 30% mosaic in TE and 40% mosaic in ICM
Franco JG 202343 Not described
Friedenthal J 202144 Not described Completed single cell DNA sequencing; 320/433 cells were successfully sequenced. Mosaicism was identified in 31.4% of all euploid embryos
Garrisi G 201645 10-90% Of aneuploid embryos 0/22 abnormal. Of mosaic embryos 10/43 were euploid ICM but not broken down by complexity and severity of mosaicism
Girardi L 202046 Not described Segmental aneuploidies > 10 Mb
Gleicher N 20167 Not described 99.9% per chromosome and 98.7% for the full karyotype
Grkovic S 202247 Low-level: 20–40%; high-level > 40 to < 80% Segmental aneuploidies > 10 Mb
Gui B 201648 Not described 86.5% consistency; 1 euploid TE was complex mosaic for 3 involved chromosomes (30%, 50%, 60%). There were 3 embryos that were partially inconsistent with ICM due to mosaicism
Hruba M 201849 Not described 67% consistency; 7 samples were aneuploid, 1 mosaic (70%). Two samples were more complex aneuploid arrangements and there were 2 euploid ICM
Huang J 201750 Not described 50 blastocysts had complete concordance in all segments biopsied. 1 embryo had partial concordance between initial biopsy and ICM
Huang L 201951 30-60% 2 embryos were aneuploid but had inconsistent karyotype abnormalities between TE and ICM; 6 embryos with partial concordance between embryo and TE. Minimum resolution > 10 Mb
Kaimonov V 201952 Not described 3 aneuploid embryos were incompletely consistent by karyotype
Kuznyetsov V 201853 Not described 2 aneuploid embryos were incompletely consistent by karyotype
Lawrenz B 201954 Not described 6 embryos had partially discordant karyotypes between TE and ICM 3 embryos had no DNA detected
Lee R 202255 Not described 20/21 euploid, 85/87 aneuploid and 51/54 segmental aneuploid were concordant. Remaining blastocysts were mosaic
Li X 202156 Normal (possible mosaic): 20–50%; Abnormal (possible mosaic): 50–80% All included embryos were mosaic on initial biopsy ranging from 27–68%. False positives only occurred with mosaic embryos < 52%. If set threshold to 50%, then only 1 false positive. If set threshold to 40%, only 5 false positive
Lin P-Y 202057 Low-level: > 20% to < 50%; high-level ≥ 50 to ≤ 80% Of 27 high-level mosaic embryos, 11 were euploid, 10 mosaic and 6 aneuploid. Of 14 low-level mosaic embryos, 7 were mosaic, 7 euploid and none aneuploid.
Liu J 201258 Not described 8 embryos had complete karyotype concordance. 1 embryo had a partial concordance
Lledo B 202159 Not described 7/9 embryos had complete karyotype concordance
Marin D 201724 Not described 2 embryos had non-concurrent results
McCarty K 202260 Not set. Gain if deviation more than 50 Chromosomal deletions and duplications ≥ 5 Mb. 54 blastocysts with deletions, 21 euploid embryos and 87 aneuploid embryos validated
Mir P 201661 Not described Segmental imbalances were excluded (n = 6). Abnormal was considered when the Log2 ratio was increased above 0.3 threshold; 12/50 day-3 embryos were mosaic aneuploid and 1/50 day 3 embryos was euploid. 9/59 blastocysts were mosaic aneuploid and 2/59 were euploid
Navratil R 202062 30-80% 25/65 aneuploid embryos were partially concordant; 3/65 were completely discordant in abnormality with initial aneuploid result Resolution of 4 Mb; 31 segmental errors ranging from 5–150 Mb. The euploid false negative was mosaic in the embryo 40–50%.
Orvieto R 20166 Not described 2 embryos were inconclusive
Ou Z 202063 20-80% 7/54 had partially discordant aneuploid karyotypes True positive aneuploid blastocysts had aneuploid ranging 40–70%. False positive mosaic ranged from 30–50%.
Popovic M 201825 5/12 mosaic embryos had complete concordant aneuploid karyotype; 12/14 aneuploid embryos had complete concordant karyotype 1 euploid embryo was mosaic for multiple chromosomes. 5 embryos were non-informative for their biopsy or ICM
Popovic M 201964 3/10 cells 16/21 aneuploid embryos were had complete concordance in karyotype, while 2/3 mosaic embryos had complete concordance. 5/21 aneuploid embryos had partial concordance and 1 mosaic embryo was completely discordant. Resolution of > 10 Mb.
Rubio C 202065 30-70% 87.5% of embryos were consistent for ploidy Resolution of > 10 Mb. 64/81 embryos were informative for TE, ICM and cfDNA. 1 embryo was discordant in sex of embryo
Sachdev NM 202066 Low-level: > 20% to < 40%; high-level ≥40% to < 80% 16 samples were uninterpretable due to chaotic results. 2 euploid embryos were mosaic in ICM (20–50%)
Shitara A 202167 20-80% 1/7 aneuploid embryos was completely concordant; 4/7 were partially concordant 2 aneuploid embryos were incompletely consistent by karyotype;
Takahashi H 202168 1-99% 7 mosaic embryos on TE biopsy ranged from 10–80%. Mosaicism ≤ 20% was not detected in BE. 9 aneuploid embryos were completely concordant. 1 completely discordant and 3 partially concordant
Tobler KJ 201569 Not described 5/6 aneuploid embryos were completely concordant; 1 embryo was completely discordant
Tsuiko O 201870 20-80% 2/2 aneuploid embryos were completely concordant. 2/3 mosaic with high level mosaicism ≥50% was detected in ICM 1 mosaic embryo with multiple involved chromosomes (20–50%) were not detected in ICM. One embryo with mosaicism 50% was detected at 20% in ICM. A third embryo with mosaicism 80% was detected at 70% in ICM.
Victor AR 201971 20-80% 79/93 aneuploid embryos were completely concordant. 14 were partially concordant. Resolution of 20 Mb
Wu L 202172 30-70%
Yin B 202173 30-70% for trisomy 13, 16, 18, 21; 40–60% for other chromosomes 42/75 embryos were completely concordant and 34/59 had partial concordance.

We performed sensitivity analyses investigating the impact of PGT-A platforms (NGS vs other platforms), reference comparators of ICM biopsy or WE, and publication of results (conference abstract versus full text). There were no differences comparing NGS to other platforms or full-text publications compared to conference abstracts (S5, S6 Fig).

Measures of diagnostic accuracy were slightly higher when comparing ICM biopsy to the WE with less heterogeneity (S7 Fig). While the impact of stage of biopsy revealed a higher overall accuracy at blastocyst compared to cleavage embryos (84.3 vs 60.0), the heterogeneity was still high (> 80%) (S8 Fig).

The quality assessment for studies that performed CCS analysis was largely either unclear or low concern for risk of bias (S6 Table). Most studies evaluated donated embryos that were initially diagnosed as aneuploid or mosaic, or of poor quality that were unsuitable for transfer contributing to partial verification bias. Overall, there was low concern that the interpretation of the index test differed from the review question.

Studies reporting pregnancy outcomes after PGT-A and ET

There were 56 studies that evaluated pregnancy outcomes after transfer of a PGT-A and ET (Table 3). Of these, 26 exclusively used NGS, and 23 used another platform [86,114].

Table 3. Characteristics for pregnancy outcomes studies.

Study ID Publication type Country Number of patients Number of embryos tested Number of transferrable embryos Patient population Mean female age (years) Study design Stage of embryo development at biopsy Initial diagnosis Index test: Method of aneuploidy detection (initial TE biopsy) Reference standard: Method of aneuploidy detection Reference standard
Aharon D 202274 Conference abstract USA 28 Not described Not described Patients who underwent IVF with PGT-A with subsequent mosaic embryo transfer Not described Case series Blastocyst Mosaic NGS Microarray (POC), not described for amniocentesis Amniocentesis or POC
Barad DH 202275 Full text USA 69 Not described Not described Patients who underwent IVF with PGT-A, for whom only abnormal embryos were available for transfer 41.4 (±3.98) Prospective cohort study Blastocyst (Day 5–7) Aneuploid or mosaic NGS for all but 3 cycles (array CGH or SNP microarray) Not described Prenatal diagnosis (amniocentesis/CVS), POC (microarray) or postnatal microarray (not described which was performed among the live births)
Besser AG 201976 Full text USA 98 Not described Not described Patients who underwent IVF with PGT-A, for whom only mosaic embryos were available Not described Retrospective case series Blastocyst Mosaic NGS Not described Amniocentesis
Chamayou S 201577 Conference abstract Italy 7 39 10 Patients who underwent combined PGT-M and PGT-A for β-hemoglobinopathies Not described Case series Blastocyst (Day 5–6) Unaffected euploid NGS Not described Prenatal diagnosis (not described)
Chen D 202078 Full text China 12 112 37 Patients who underwent combined PGT-M and PGT-A for α- and β-thalassemia Range: 26–36 Case series Blastocyst (Day 5–6) Unaffected euploid NGS Not described Amniocentesis
Daina G 201516 Full text Spain 7 62 13 Patients who underwent combined PGT-M and PGT-A for cystic fibrosis (n = 4), polycystic kidney disease (n = 3), arrhythmogenic right ventricular dysplasia/ cardiomyopathy (n = 1), sickle cell disease (n = 1) 33.6 Case series Cleavage stage (Day 3) Unaffected euploid Metaphase comparative genomic hybridization (mCGH) Not described Postnatal genetic diagnosis
Fernandez Sanguino A79 Conference abstract Spain 2022 532 Not described Patients who underwent IVF with PGT-A, for whom only mosaic embryos were available Not described Retrospective case series Blastocyst Mosaic NGS Not described Amniocentesis
Friedenthal J 20204 Full text USA 1997 Not described Not described Not described 35.8 Retrospective case series Blastocyst Euploid Array CGH (n = 846); NGS (n = 1151) Not described Karyotype of POC/amniocentesis/CVS or neonatal exam
Gao Y 202280 Full text China 7 Not described Not described Not described Not described Case control Blastocyst Mosaic NGS Single cell multiomics sequencing Postnatal genetic diagnosis
Gleicher N 20167 Full text USA 8 Not described Not described Not described Not described Prospective case series Blastocyst Aneuploid NGS Array CGH Amniocentesis or CVS
Hu X 202481 Full text China 20 89 47 Patients who underwent combined PGT-M and PGT-A for small copy number variants Range 21–36 Prospective case series Blastocyst (Day 5–6) Unaffected euploid NGS Karyotype (G-banding) Amniocentesis
Huang C 202282 Full text China 3 10 4 Patients who underwent IVF with either combined PGT-M for neurofibromatosis (n = 1) or PGT-SR for a Robertsonian translocation (n = 2) 30.7 Prospective case series Blastocyst (Day 5–6) Unaffected euploid NGS Not described Amniocentesis
Huang J 201583 Full text China 6 58 7 Patients who underwent PGT-A ± PGT-SR for recurrent pregnancy loss or parental karyotype abnormality (n = 5) Not described Retrospective case series Cleavage stage (Day 3) followed by blastocyst Euploid balanced Array CGH or SNP microarray Karyotype Amniocentesis
Katz-Jaffe M 202384 Abstract USA Not described Not described Not described Patients who underwent single euploid embryo transfer 35.8 ± 3.8 Retrospective case series Blastocyst Euploid NGS Karyotype and/or SNP microarray POC
Kim JG 202185 Conference abstract USA Not described Not described Not described Not described Not described Retrospective case series Not described Euploid NGS Not described POC
Klimczak AM 202086 Full text USA 1139 Not described Not described Patients who conceived after single euploid embryo transfer and underwent non-invasive prenatal testing 35.3 (±4) for normal NIPT; 37.1 ± 2 for abnormal NIPT; Range 18–50 Retrospective cohort Not described Euploid Not described Not described Amniocentesis or CVS and neonatal exam
Lin P-Y 202057 Full text Taiwan 108 Not described Not described Patients who underwent IVF with PGT-A for infertility, recurrent pregnancy loss, or combined PGT-M Not described Retrospective case series Blastocyst (Day 5–6) Mosaic NGS Karyotype Amniocentesis
Luo KL 201587 Conference abstract China 101 Not described Not described Patients with unexplained recurrent pregnancy loss, abnormal CGH on products of conception testing, or advanced maternal age Not described Retrospective case series Blastocyst (Day 5–6) Euploid SNP microarray CGH POC
Ma GC 201688 Full text Taiwan 21 144 74 Patients who underwent their first IVF cycle for infertility 36.0; Range: 29–42 Prospective cohort study Blastocyst (Day 5) Euploid Array CGH Array CGH POC
Ma X 202189 Full text China 258 1189 538 Patients who underwent IVF with PGT-A ± PGT-SR for infertility, recurrent pregnancy loss, previous karyotypically abnormal conception (n = 116, control group), or parental karyotype abnormality (n = 142, study group) 31.0 ± 5.78 for experimental group; 32.4 ± 4.68 for control group Prospective cohort study Blastocyst (Day 5–6) Euploid balanced NGS Karyotype Amniocentesis
Maxwell SM 20165 Full text USA 76 Not described Not described Patients who underwent IVF with PGT-A for infertility with subsequent pregnancy loss after euploid embryo transfer 35.5 ± 5.5 Retrospective case control Blastocyst (Day 5–6) Euploid Array CGH SNP x 10 pregnancies; Cell culture, G banding x 10 pregnancies POC
Morales Sabater R 202390 Conference abstract Spain Not described Not described Not described Children born after SET for PGT-A Not described Retrospective case control Blastocyst Euploid or mosaic NGS Not described Amniocentesis, or postnatal karyotype, and neonatal exam
Mykytenko D 201891 Conference abstract Ukraine 20 Not described Not described Not described Not described Retrospective case series Blastocyst Euploid Array CGH NGS POC
Ou Z 202292 Full text China 23 143 65 Patients who underwent IVF with combined PGT-A ± PGT-SR for advanced reproductive age or parental karyotype abnormality (balanced or Robertsonian translocation, or chromosome inversion) 31.1 ± 4.1 Retrospective case series Blastocyst (Day 5–6) Euploid balanced NGS and SNP microarray Not described Prenatal diagnosis or POC
Pozzoni M 202293 Conference abstract Italy 39 Not described Not described Patients who underwent IVF with PGT-A, for whom only abnormal embryos were available for transfer with resulting pregnancy Not desfraffrcribed Retrospective case control Blastocyst Mosaic NGS Not described CVS or amniocentesis
Rubino P 201894 Conference abstract USA 99 Not described Not described Patients who underwent IVF with PGT-A, for whom no euploid embryos were available for transfer 39.1 ± 6.4 Retrospective case control Blastocyst Mosaic NGS Not described CVS or amniocentesis
Ruttanajit T 201695 Full text China, Thailand 7 49 29 Patients who underwent IVF with PGT-A for infertility, advanced reproductive age, or balanced translocation Not described Case series Blastocyst (Day 5–6) Euploid Array CGH Karyotype Not described
Satirapod C 201996 Full text Thailand 15 106 Not described Patients who underwent combined PGT-M and PGT-A for β-thalassemia/hemoglobin E disease 34.8 ± 3.56 Retrospective case series Blastocyst Unaffected euploid Array CGH (n = 5) or NGS (n = 10) Not described Amniocentesis and postnatal cord blood sampling
Scott RT 201297 Full text USA 146 255 Not applicable Patients who underwent IVF with PGT-A for infertility 34.0 ± 4.4 Prospective non-selection study Cleavage stage (Day 3; n = 113); Blastocyst (Day 5; n = 142) Blinded results (non-selection) SNP microarray SNP microarray Postnatal genetic diagnosis
Shen X 201998 Conference abstract China Not described Not described 103 Patients who underwent PGT-M for single gene defect; PGT-A completed after delivery Not described Retrospective case series Blastocyst Unaffected (PGT-A results determined after delivery) NGS Not described Prenatal diagnosis or karyotype detection of the newborn
Spinella F 201827 Full text Italy 327 Not described Not described Patients who underwent IVF with PGT-A for infertility, advanced reproductive age or translocation, for which no euploid embryos were available for transfer 37.6; Range: 39–47 Prospective cohort study Blastocyst (Day 5–6) Mosaic Array CGH and NGS Not described Amniocentesis and/or chorionic villi sampling
Spinella F 202399 Conference abstract International Not described Not described Not described Patients who underwent IVF with PGT-A with mosaic ET Not described Retrospective case series Blastocyst (Day 5–7) Mosaic NGS Not described Prenatal testing and postnatal exam
Tan Y 2014100 Full text China 395 (NGS = 128; SNP = 177) 1512 666 Patients who underwent IVF with PGT-A for advanced reproductive age, recurrent pregnancy loss or parental karyotype abnormality 32.1; Range: 20–44 Retrospective case series Blastocyst (Day 5–6) Euploid balanced SNP microarray (n = 1058); NGS (n = 454) Karyotype for PGT Amniocentesis or peripheral blood samples for babies
Tao X 2020101 Conference abstract USA Not described Not described Not applicable Not described Not described Nested case series from non-selection study Not specified Blinded results (non-selection) NGS NGS CVS, amniocentesis or newborn buccal swabs
Tiegs AW 2016102 Full text USA 520 Not described Not described Not described 35.9 Retrospective case series Blastocyst (Day 5–7) Euploid Array CGH Not described POC from pregnancy loss tissue (array CGH), amniocentesis, neonatal karyotype
Tiegs AW 2021103 Full text USA 402 2110 Not applicable Patients who underwent their first IVF cycle for infertility 34.9 ± 4.0 Prospective non-selection study Blastocyst Blinded results (non-selection) NGS Microarray Neonatal exam, neonatal karyotype, amniocentesis, products of conception
Treff NR 2011104 Full text USA 15 122 39 Patients who underwent combined PGT-SR with PGT-A for parental karyotype abnormality Not described Prospective case series Blastocyst Euploid balanced SNP microarray SNP microarray Neonatal karyotype (buccal DNA)
Vesela K 2019105 Conference abstract Czech Republic 59 Not described Not described Patients who experienced pregnancy loss and underwent dilation and curettage Not described Retrospective case series Blastocyst (Day 5–6) Euploid NGS Array CGH Products of conception
Victor AR 2019106 Full text UK Not described Not described Not described Patients who underwent IVF with PGT-A, for whom no euploid embryos were available for transfer Not described Prospective case series Blastocyst Mosaic NGS Not described Amniocentesis, physical exam (1 twin gestation leading to demise of both babies secondary to PPROM)
Volozonoka L 2018107 Full text Latvia 9 62 20 Patients who underwent IVF with combined PGT-M and PGT-A for single gene defect 34.4 ± 2.8 Prospective case series Blastocyst (Day 5) Unaffected euploid Array CGH Not described Postnatal genetic diagnosis
Wang J 2018108 Full text China 11 107 23 Patients who underwent IVF with combined PGT-SR and PGT-A for parental karyotype abnormality (Robertsonian translocation) 30.6 ± 2.62 Case series Blastocyst (Day 5–6) Euploid balanced SNP microarray Conventional G-banding karyotype Amniocentesis and POC
Wang J 2023109 Full text China 25 Not described Not described Patients who underwent combined PGT-M and PGT-A for α-thalassemia 30.1 ± 3.30; Range 23–39 Case series Blastocyst Unaffected euploid SNP microarray Not described Amniocentesis
Wang Y 2021110 Full text China 9 34 17 Patients who underwent IVF with combined PGT-M and PGT-A for de novo autosomal dominant kidney disease Range: 23–34 Prospective case series Blastocyst (Day 5–6) Unaffected euploid NGS SNP microarray for POC; Not described for amniocentesis Amniocentesis and POC
Wang Y 2023111 Full text China 8 45 18 Patients who underwent IVF with combined PGT-M and PGT-A for Charcot-Marie-Tooth disease Range 26–38 Prospective case series Blastocyst (Day 5–6) Unaffected euploid NGS Not described Amniocentesis
Wells D 2009112 Conference abstract UK, USA 97 432 194 Not described 38.3 Case series Blastocyst Euploid CGH Not described Not described
Werner MD 2014113 Full text USA Not described Not described Not described Not described Not described Retrospective case series Blastocyst Euploid qPCR G banding conventional karyotype and SNP microarray for 4 POC POC
Wiltshire AM 2021114 Conference abstract USA Not described Not described Not described Patients who underwent IVF with PGT-A and subsequently experienced pregnancy loss Not described Retrospective case series Not described Euploid Not described SNP microarray POC
Yang J 2021115 Full text China 10 23 19 Patients who underwent combined PGT-M and PGT-A with previous history of at least two molar pregnancies Range: 27–34 Prospective case series Blastocyst (Day 5–6) Biparental disomy euploid NGS SNP microarray Amniocentesis and neonatal karyotype
Yao Z 2023116 Full text China 17 Not described Not described Patients who underwent PGT-A ± PGT-SR for recurrent pregnancy loss, recurrent implantation failure, or parental karyotype abnormality who had a live birth 30.5 ± 4.82 Retrospective case series Blastocyst (Day 5–6) Euploid or mosaic (n = 1) NGS NGS Neonatal karyotype (whole blood)
Zhai F 2022117 Full text China 109 540 233 Patients who underwent combined PGT-SR and PGT-A for parental karyotype abnormality with history of either pregnancy loss or infertility 30.3 ± 3.42 Retrospective case series Blastocyst Euploid balanced NGS and SNP microarray for CNV for carrier status Karyotype Amniocentesis
Zhang L 2019118 Full text China 348 Not described Not described Patients who underwent IVF with PGT-A for infertility, parental karyotype abnormality, unexplained recurrent pregnancy loss, previous karyotypically abnormal conception, or advanced reproductive age 31.4 ± 4.2 (mosaic on reanalysis); 31.3 ± 4.6 (euploid on reanalysis) Retrospective case series Blastocyst (Day 5–6) Euploid Array CGH Not described Amniocentesis and neonatal exam
Zhang S 2017119 Full text China 11 68 26 Patients who underwent combined PGT-SR and PGT-A for parental karyotype abnormality with history of either recurrent pregnancy loss, infertility or previous karyotypically abnormal conception Range: 25–36 Prospective case series Blastocyst (Day 5–6) Euploid balanced SNP microarray Karyotype Amniocentesis
Zhang S 2019120 Full text China 4 18 8 Patients who underwent combined PGT-SR and PGT-A for parental chromosomal inversion with history of infertility, recurrent pregnancy loss, or karyotypically abnormal conception Not described Prospective case series Blastocyst (Day 5–6) Euploid balanced SNP microarray Karyotype Amniocentesis or postnatal cord blood
Zhang S 2021121 Full text China 12 59 22 Patients who underwent combined PGT-M, PGT-SR and PGT-A for couples where both partners were carriers for monogenic disease, one of whom carried a parental karyotype abnormality. They had history of either infertility or previous karyotypically abnormal pregnancy Not described Case series Blastocyst (Day 5–6) Unaffected euploid balanced SNP microarray Karyotype and Sanger sequencing Amniocentesis or postnatal cord blood
Zhang YX 2020122 Full text China, Malaysia, Thailand Not described Not described Not described Patients who underwent IVF with PGT-A for infertility, recurrent pregnancy loss, previous karyotypically abnormal conception, or combined PGT-M or PGT-SR 31.8 ± 6.4 (mosaic); 34.5 ± 5.8 (euploid) Prospective cohort study Blastocyst (Day 5–6) Euploid or mosaic NGS (2 centres) and array CGH (1 centre) Karyotyping for POC (not described), microarray for amniocentesis Amniocentesis or POC
Zhou Z 2018123 Full text China 12 118 19 Patients who underwent combined PGT-SR and PGT-A for parental karyotype abnormalities Range: 26–37 Case series Cleavage stage (Day 3) Euploid NGS and array CGH Karyotype Amniocentesis and neonatal karyotype (buccal cells)

CGH: Comparative genomic hybridization; CVS: Chorionic villus sampling; NGS: Next generation sequencing; PCR: Polymerase chain reaction; PGT-A: Preimplantation genetic testing for aneuploidy; PGT-M: Preimplantation genetic testing for monogenic diseases; PGT-SR: Preimplantation genetic testing for structural rearrangements; POC: Products of conception; SNP: Single nucleotide polymorphism

Euploid embryo transfers

In the 42 studies that evaluated outcomes of euploid ETs, validation was performed against one or more of: amniocentesis, CVS, products of conception (POC), postnatal genetic testing, or complete physical examination (Table 3). There were 10,641 reported pregnancies among 20,196 embryos transferred. Of these pregnancies, only 1367 validated the genetic status against one of the above methods. Overall, the misdiagnosis rate for a false negative upon euploid ET was 0.2% (95% CI 0.0–0.7%, I2 = 65%), with a prediction interval from 0–3.4% (Fig 3a). Among tested POC, there were 22 euploid embryos that were diagnosed with a microdeletion below the limit of detection of PGT-A; as this was considered an incidental finding rather than a misdiagnosis, we classified this as euploid. Two-by-two table is available in S7 Table.

Fig 3. Forest plots for pregnancy outcomes: misdiagnosis rate.

Fig 3

a. Euploid embryo transfer. b. Aneuploid embryo transfer. c. Non-selection embryo transfer. d. Mosaic embryo transfer.

Aneuploid embryo transfers

Clinical studies on this population of embryos have been limited in sample size due ethical limitations. There were two studies that described 30 cases of aneuploid ET resulting in 15 pregnancies, of which five led to healthy live births [7,75]. There were three non-selection studies included in our search [97,98,103], of which two reported the number of embryos transferred [97,103]. The misdiagnosis rate upon aneuploid-screened ETs (including the non-selection studies) was 10.6% (95% CI:0–38% I2 = 91%) (Fig 3b). The misdiagnosis rate for a false positive among aneuploid-screened embryos in the two non-selection studies was 0.4 (95% CI: 0.0–0.3%, I2 = 91%) (Fig 3c). The non-selection study by Scott (2012) revealed that of 99 transferred embryos that would have been classified as aneuploid, four resulted in live births [97]. Of these four misclassified embryos, three were biopsied at the blastocyst stage, and one was biopsied on day three. In a subsequent trial by Tiegs (2021), 0/102 aneuploid-screened embryos resulted in sustained implantation or delivery (Fig 3c) [103]. Two-by-two tables are available in S8, S9 Tables.

Mosaic embryo transfers

There were fourteen studies that transferred mosaic embryos, defined variably by either copy number variation or by the proportion of cells that were aneuploid, with ranges from 20–80% or 30–70% being the most common (Table 4) [27,57,7476,79,80,90,93,94,99,106,116,122]. We classified the outcome as a misdiagnosis when the pregnancy outcome was euploid; however, if the pregnancy was aneuploid or mosaic, this was considered a true positive event, regardless of the number or specific chromosomes involved. Of 2611 embryos transferred, 41 cycles included the transfer of multiple embryos (some of which included euploid embryos). Mosaic ETs resulted in 1157 pregnancies, of which 724 had validated outcome data against which to compare the PGT-A results. The misdiagnosis rate was 21.7% (95% CI: 9.6–36.9, I2 = 95%) (Fig 3d). Again, two embryos had microdeletions below the limit of detection and were not considered a misdiagnosis. Two-by-two table is available in S10 Table.

Table 4. Mosaicism level and karyotype concordance of pregnancy outcome studies.

Study Mosaicism level Karyotype concordance Notes
Aharon D 202274 Not described
Barad DH 202275 Not described 7 whole chromosome aneuploid mosaic were non-concordant; 2 segmental aneuploid mosaic was non-concordant. 2 whole chromosome aneuploid and 1 segmental aneuploid were euploid upon testing pregnancy
Besser AG 201976 20-80% Prevalence of mosaicism was 28.4%; 5 cycles were double embryo transfer
Chamayou S 201577 Not described
Chen D 202078 Not described
Daina G 201516 Not described
Fernandez Sanguino A79 Not described 39 low risk mosaic embryos of which 8 were transferred.
Friedenthal J 20204 Not described 11 cases of discrepant diagnoses with aCGH: 2 were below the threshold of detection, 3 mosaic, and one contamination; 8 cases of discrepant diagnoses with NGS in POC with 2 WCA, 3 mosaic, and 2 segmental aneuploid.
Gao Y 202280 Not described Resolution > 10 Mb
Gleicher N 20167 Not described
Hu X 202481 Not described Resolution 57 Kb using SNP
Huang C 202282 Not described
Huang J 201583 Not described
Katz-Jaffe M 202384 Not described 12 cases confirmed fetal mosaicism; triploidy detected in 4 cases, WCA in 6 cases
Kim JG 202185 Not described 4 cases undetected by PGT-A; 21 cases with deletions/duplications 5.02 Mb-111kB; 10 cases with whole chromosome mosaic abnormalities; 4 cases of tetraploidy that elude detection by NGS.
Klimczak AM 202086 Not described 1 case of Turner mosaicism (80%)
Lin P-Y 202057 20-80%; Low level < 50%; High level > 50% 83 low-level mosaic; 25 high-level mosaic transfers; 37 LB in low-mosaic; 9 LB in high-mosaic
Luo KL 201587 Not described
Ma GC 201688 Not described 9 double embryo transfer cycles
Ma X 202189 30-70%; Low level < 50%; High level ≥50% 20.6% of embryos exhibited mosaicism.
Maxwell SM 20165 20-80% Misdiagnoses: 47,XX, + 7; mosaic trisomy 21; mosaic trisomy 13; mosaic trisomy 11
Morales Sabater R 202390 25-50% 61.4% of embryos were mosaic in the range of 25–39%; 38.6% of embryos were mosaic in the range of 40–50% cells tested
Mykytenko D 201891 <50% 2 cases of mosaicism in POC after euploid transfer (T13, M20)
Ou Z 202292 >30% Resolution > 4 Mb
Pozzoni M 202293 IQR 30–40%
Rubino P 201894 20-80%; Low level < 50%; High level > 50%
Ruttanajit T 201695 20-70% 13% of embryos exhibited mosaicism
Satirapod C 201996 Unable to detect
Scott RT 201297 Not described 55 healthy live births and 3 losses from euploid cohort; 4 live births and 2 losses from the aneuploid cohort.
Shen X 201998 Not described Misdiagnoses: T22 (n = 1); segmental chromosomal aneuploidy (4.06 Mb-191 Mb, n = 6); mosaic whole chromosome aneuploidy (20–41%, n = 28); mosaic segmental chromosomal aneuploidy (n = 8); combined segmental aneuploidy with mosaic aneuploidy (n = 16) Resolution > 4 Mb; 30.4% of embryos were mosaic whole chromosomal aneuploidy; 6.5% of embryos were segmental chromosomal aneuploid.
Spinella F 201827 Array CGH: log2 ratio between 3x SD 0.08 + /- 0.04 and 0.033 + /- 0.02;
NGS: copy number value between 2 and 3 or 2 and 1
All healthy live births occurred with mosaicism levels 30–50%. 54 embryos either did not implant or led to early losses for mosaicism level between 30–60%.
Spinella F 202399 20-80% Resolution > 5 Mb
Tan Y 2014100 Not described Resolution > 1 Mb
Tao X 2020101 Not described 3 POC samples had maternal contamination; Misdiagnoses: 3 non-concurrent results;
Tiegs AW 2016102 Unable to detect All but one live birth was apparently euploid and of the correct gender; Misdiagnoses: 1 contamination from embryologist, 4 speculated to be secondary to mosaicism or technical error
Tiegs AW 2021103 Not described Microdeletion 1.1 Mb on chromosome 13 (below threshold of detection for PGT-A) detected on one POC; 3.5% of embryos were whole chromosomal mosaic and 8.8% had a segmental abnormality
Treff NR 2011104 Not described
Vesela K 2019105 Not described
Victor AR 2019106 20-80% 2 microdeletions below level of detection (84.11 Kb; 1 copy < 100 kb) 1 balanced translocation Resolution > 20 Mb (occasionally < 2 Mb)
Volozonoka L 2018107 Not described
Wang J 2018108 Not described
Wang J 2023109 Not described
Wang Y 2021110 >30% Resolution > 10 Mb
Wang Y 2023111 >30% Resolution > 10 Mb
Wells D 2009112 Not described
Werner MD 2014113 Not described 1 tetraploid, 2 monosomic, 7 trisomic gestations; 4 cases of mosaicism
Wiltshire AM 2021114 Not described 3 trisomies, 2 partial duplications, 2 mosaic trisomies, 1 triploidy
Yang J 2021115 Not described
Yao Z 2023116 20-80% Resolution > 10 Mb
Zhai F 2022117 Not described 15.6% of embryos were mosaic
Zhang L 2019118 >20%
Zhang S 2017119 Not described
Zhang S 2019120 Not described
Zhang S 2021121 Not described
Zhang YX 2020122 20-80% Resolution > 10 Mb
Zhou Z 2018123 Not described

Lin evaluated outcomes based on level of mosaicism (Low: 21–49%; High: 50–80% abnormal cells) and found higher miscarriage rates in the high-level group compared to the low-level group (31% vs 5%) but similar live birth rates (45% vs 36%) [57]. All 46 patients with ongoing pregnancies had amniocentesis confirming euploid karyotypes. Similarly, Rubino et al (2018) transferred low mosaic embryos in 33 patients resulting in a 51.5% euploid live birth rate compared to a 48.5% live birth rate among euploid screened embryos [94].

Quality evaluation

The quality of the studies was largely regarded as low risk of bias for the index test (S11 Table). However, the risk of bias for the interpretation of the reference standard was unclear or high risk due to lack of blinding, and incomplete or missing description of the genetic platform for evaluating the POC, pre- or post-natal genetic tests. As many included patients did not receive confirmatory testing, the risk of bias was high for patient flow and timing resulting from a loss to follow-up.

Discussion

In this systematic review and meta-analysis, we demonstrate that among studies that report pregnancy outcomes after a euploid ET, the risk of a false negative is very low. While there was no significant difference in measures of accuracy by genetic platform used for PGT-A analysis, unsurprisingly, blastocyst biopsy had higher predictive value than cleavage-stage embryo, which is the standard of testing.

An ideal study of diagnostic accuracy would first perform the index test and compare results for all embryos. In the case of euploid ET, this is impossible as many will either fail to implant or result in an early pregnancy loss where it is not feasible to collect tissue samples for cytogenetic analysis, leading to an incalculable denominator [124,125]. Moreover, most patients do not transfer all their euploid embryos, and many decline prenatal and postnatal genetic testing. Despite being encouraged to undergo confirmation testing, the study conducted by Tiegs (2021) revealed that only 10% of patients with ongoing pregnancies underwent either CVS or amniocentesis [103]. As many patients decline invasive prenatal testing, universal neonatal or cord blood sampling may be a more feasible option to confirm the initial screening result and allow for further investigation into causes of misdiagnosis (specifically mosaicism and technical factors like contamination).

Notably, there are several studies that did not meet the initial inclusion criteria based on the lack of genetic evaluation of POC, be it from a miscarriage, amniocentesis, CVS, or neonatal examination. For inclusion “healthy birth” was insufficient to describe the diagnostic accuracy of PGT-A. In the STAR trial, where women were randomized to PGT-A or untested blastocyst transfer, karyotyping was not performed on miscarriages [126]. The multicentre RCT conducted by Yan (2021) did not perform any genetic evaluation on products of conception and there was no report of pre- or postnatal testing [127]. As a result, the accuracy of euploid transfer is difficult to ascertain.

In this meta-analysis, among studies that reported a genetic evaluation of pregnancy tissue, the misdiagnosis rate was 0.2% for euploid embryos, but higher for mosaic (21.7%) and aneuploid embryos (10.6%). Importantly, the prediction interval for mosaic transfers and aneuploid transfers are extremely wide. These wide intervals indicate a lack of certainty in the true misdiagnosis rate for mosaic and aneuploid embryos and suggest the need for future high-quality studies to inform practice. Two studies knowingly transferred aneuploid embryos tested at multiple centres with limited sample sizes; [7,75] the original study by Gleicher’s group transferred embryos that performed PGT-A with various genetic platforms (with limited ability to detect mosaicism) [7]. Three studies were only unblinded to the PGT result after the ET [97,98,103]. These differences may explain the heterogeneity detected. Among studies that performed either POC testing or amniocentesis, many did not describe the genetic platform of evaluation. Importantly, of the 15 studies that tested POC to confirm the karyotype of the pregnancy loss [4,5,75,85,87,88,97,100,102,105,108,110,113,114,122], 11 described the method of genetic analysis. The studies by Maxwell (2016), Wang (2018) and Werner (2014) used a combination of SNP and cell culture with G Banding [5,108,113], which is no longer recommended as the gold standard for cytogenetic analysis of POC due to the risk of amplification failure and maternal contamination [128].

Among mosaic ET, the misdiagnosis rate was 21.7%. Similarly, for whole embryo studies, the PPV was 52.8%, indicating that embryos classified as mosaic are in fact euploid in at least 20% of cases but even as high as over 50%. This wide range is likely attributed to the criterion for consideration of mosaicism and the distinction between low and high levels. Several studies are demonstrating encouraging pregnancy outcomes after mosaic ET [129], leading to controversy on the definition of aneuploid/euploid embryos and calling into question clinical practice decisions on how to handle these embryos. The incidence of mosaicism ranges from 5–15%, which varies by clinic, embryology practices and testing facilities [130]. This additional layer of complexity in the use of PGT-A as a selection tool means that genetic counselling is essential to guide patients in decision-making: 1. To discard potentially healthy embryos and proceed with another IVF cycle due to lack of remaining embryos, or 2. To transfer with the potential for either failed implantation or pregnancy loss with the associated financial and emotional burden, as well as the delayed time to successful pregnancy. Certainly, it is important to closely monitor outcomes of these pregnancies to determine a more reliable estimate of diagnostic accuracy [130,131]. In fact, in a survey of IVF centres, 95% (151/159) recommended prenatal diagnostic testing for confirmation and follow up [132]. For the purposes of our study, we considered a mosaic or aneuploid result to be concordant, even if the chromosomes involved were non-concordant (i.e., concordance by ploidy not by individual chromosome). Several studies also performed mixture studies with cell lines of varying fractions of euploid cells to validate mosaic embryos to determine the threshold of the platform to detect mosaicism [19,20,23,25,27,30,31]. In trophectoderm biopsies, several chromosomes may be involved in the aneuploidy and to some degree of mosaicism, which has been investigated in five studies [40,45,56,57,72]. It is of utmost importance for labs to perform these studies prior to initiating clinical testing, which will guide in the determination of a “safe” threshold for embryo transfer. The decision to re-biopsy the embryo is challenging, as there are unclear benefits nor specific indications to perform one. Among the studies that had multiple TE biopsies and could compare to the ICM/WE for both aneuploid or mosaic results in TE1 [6,24,25,46,50,56,59,62,71], there was significant variability in TE2 or TE3 and how it reflected the “true” ICM/WE result. We would, therefore, not recommend a re-biopsy for this indication, as supported by the European Society of Human Reproduction and Embryology (ESHRE) [132]. Rather, patients should be counselled of the possibility of the risk of inaccuracies in PGT-A testing [130].

While the absolute false negative rate of PGT-A cannot be known in clinical practice, as presumed euploid embryos that are transferred but fail to implant cannot be retested, the false negative rate can be estimated by performing genetic testing on products of conception from clinical pregnancy losses, as well as genetic testing of ongoing pregnancies with suspected aneuploidy syndromes. Several groups have reported discordance rates, with failure to detect mosaic embryos, monosomy and polyploidy ranging from 0.1% to 23% [4,102,113], depending on whether the pregnancy resulted in a spontaneous abortion or live birth. There is biologic plausibility that euploid-screened embryos are not implanting because the test is wrong, however, failed implantation cannot be solely attributed to the ploidy status, and uterine factors, other embryonic factors must also be taken into consideration. One study noted that the clinical error rate was significantly higher after pregnancy loss compared to the pregnancies that resulted in a live birth (13–23% vs 0.1–0.4%) [4], which is understandable as most chromosomal aneuploidies are incompatible with life [133]. Encouraging patients to collect their POC tissue after a spontaneous pregnancy loss at home, sending the POC for cytogenetic analysis after D&C, or working with PGT-A reference labs to offer POC testing at no cost for adequate follow-up would help elucidate the misdiagnosis rate (or reason for pregnancy loss of an aneuploid conception) and potentially reduce the risk of detection bias. This would also serve to avoid unnecessary investigations and interventions for failed “euploid embryo transfer” in the case of a misdiagnosis. Thus, while the reported misdiagnosis rate per ET is 0.2%, indicating that approximately 2/1000 presumed euploid embryos are actually aneuploid and may explain a pregnancy loss or failed implantation, this is can only be a rough estimate and may only be “tip of the iceberg” as misdiagnosis of failed implantation cases simply cannot be quantified.

There were two studies that attempted to identify sources of misdiagnosis [4,102]. Friedenthal et al. (2020) described potential sources of discrepancy for PGT-A results, specifically biologic sources (likely attributed to mosaicism) and test error [4]. They reported on DNA fingerprinting to confirm embryologist contamination, which was only performed in one case where there was sex discordance between PGT-A result and live birth. In a more recent conference presentation at ESHRE a contamination rate of 0.44% using SNPs to detect non-embryonic DNA was found in nearly 50,000 analyzed biopsies, though was as high as 7.7% in one clinic [134]. This study did not identify the source of contamination (e.g., from technician or parental origins). Finally, Dong et al evaluated the risk of contamination in embryos fertilized by conventional IVF and found maternal contamination in 0.83% from granulosa cells and 0% for sperm [135]. While rare, it would be prudent to conduct a study investigating the incidence of technician or parental contamination.

Gleicher et al (2016) suggested that the risk of a false positive test with PGT-A may be as high as 55% [7]. While not every embryo is resampled, and most embryos labelled aneuploid are not transferred, a misdiagnosis rate this high would have considerable implications, including discarding potentially healthy embryos and reduction in cumulative live birth rates. In a subsequent study by the same group the misdiagnosis rate was lower (14.3%) [75], with very small sample sizes. However, when considering the transfer of aneuploid-screened embryos in the two well-designed non-selection studies [97,103], this misdiagnosis rate declines further to 6%, which is more reassuring, and likely more realistic. From ICM or WE studies, the positive predictive value of an aneuploid-screened embryo validated against their ICM or WE was 84%, meaning that up to 16% of embryos are in fact euploid, and would otherwise be discarded [6,24,25,46,50,56,59,62,71].

Two studies biopsied embryos at the cleavage stage and compared the results to ICM or WE after extended culture [38,69]. If the embryo failed to develop to blastocyst stage, they were excluded from analysis, thereby introducing possible selection bias. Aneuploid embryos may be more likely to arrest in development and were therefore more likely be excluded compared to euploid embryos [3,38,136]. Brezina (2012) demonstrated that 60% of embryos initially classified as aneuploid failed to develop to blastocyst, compared to the 40% blastulation rate among euploid embryos [38]. Similarly, Popovic (2019) investigated blastocyst outgrowths and found that euploid embryos were significantly more likely to continue developing in extended culture compared to aneuploid embryos [64]. This observed attrition may therefore result in a lower prevalence of aneuploidy compared to euploidy in these studies, which would lead to a reduction in the positive predictive value.

Limitations

A significant challenge of this meta-analysis was the limited number of randomized controlled trials and non-selection studies available for inclusion, which would be the highest calibre of studies to answer our research objectives. The diagnostic accuracy from studies evaluating pregnancy outcomes were largely immeasurable or only partially verified (evaluating exclusively aneuploid or exclusively euploid embryos). Partial verification bias of diagnostic tests occurs when a proportion of the embryos are compared to the reference standard [137], as is the case in studies evaluating euploid-screened embryos where few pregnancies are compared to a gold standard (amniocentesis/CVS/neonatal karyotype), or when only aneuploid-classified embryos are dissected and compared to the ICM/whole embryo. This effect biases euploid results to an increased sensitivity and lower specificity [138,139]. Moreover, the positive predictive value is particularly impacted by a high prevalence of outcome (aneuploidy), which would be set by the authors if exclusively evaluating one outcome. In application to the WE/ICM studies included, most embryos evaluated were donated “aneuploid” or “poor quality” embryos. Due to the limited number of donated euploid-screened embryos, the results presented may be an inflation of the actual PPV, and calls into question the number of potentially healthy embryos we are discarding as a result of an erroneous “euploid” result.

There is also a concern about the generalizability of these results as many of the included studies are published from the same clinics. A recently published study investigated the variation in euploidy rate and live birth rates based on the genetics labs [140]. This study evaluated four high-volume genetics companies and found that the lab with the highest euploidy rate also had the highest live birth rate. The authors suggested that this may largely be due to quality control, including processing and data analysis. These results may also be confounded by high-volume centres sending a large proportion of their samples to a single centre with superior embryology and biopsy techniques. The reassuring measures of diagnostic accuracy found in this study may reflect programs with the highest competence in embryo biopsy and the PGT-A pipeline. It is therefore prudent for each embryology and genetics lab to continue to perform quality control measures with validation pre-clinically, as well as follow-up post embryo transfer.

Conclusion

The overall accuracy of PGT-A is excellent, and patients can be counselled that the results are reliable for euploid and aneuploid classifications. The risk of false negative result leading to an aneuploid conception appears to be very low. When we conducted sensitivity analyses to evaluate the impact of various PGT-A genetic platforms on diagnostic accuracy, particularly for aneuploid-screened embryos, there was no difference detected. However, the accuracy for mosaic embryos is much lower, with high possibility of healthy pregnancy, with consideration to either re-biopsy or transfer with adequate counselling. Clinicians should be aware that the estimates of diagnostic accuracy are biased by missing data from failed implantation, pregnancy losses and limited pre- or postnatal diagnostic testing.

Supporting information

S1 Fig. Forest plots for cell line studies.

(DOCX)

pone.0321859.s001.docx (323.5KB, docx)
S2 Fig. Forest plots for cell lines studies subgroup analysis: NGS vs other genetic platform.

(DOCX)

pone.0321859.s002.docx (399.4KB, docx)
S3 Fig. Forest plots for cell lines studies subgroup analysis: Conference abstract vs full text.

(DOCX)

pone.0321859.s003.docx (399.4KB, docx)
S4 Fig. Forest plots for whole embryo or ICM studies: Measures of diagnostic accuracy.

(DOCX)

pone.0321859.s004.docx (434.9KB, docx)
S5 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: NGS vs other genetic platform.

(DOCX)

pone.0321859.s005.docx (294.8KB, docx)
S6 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: Conference abstract vs full text.

(DOCX)

pone.0321859.s006.docx (298.8KB, docx)
S7 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: Whole embryo vs ICM.

(DOCX)

pone.0321859.s007.docx (297.7KB, docx)
S8 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: Blastocyst vs cleavage stage embryos.

(DOCX)

pone.0321859.s008.docx (290.8KB, docx)
S1–11 Tables

Characteristics for cell line studies, two-by-two tables all study types, and quality assessments for all study types.

(DOCX)

pone.0321859.s009.docx (82KB, docx)
S1 File. Medline search strategy.

(DOC)

pone.0321859.s010.doc (24.5KB, doc)
S2 File. Excluded studies with reasons for exclusion.

(DOCX)

pone.0321859.s011.docx (115.6KB, docx)
S3 File. Cell line supplement results and discussion.

(DOCX)

pone.0321859.s012.docx (19.2KB, docx)
S4 File. Prospero registration.

(PDF)

pone.0321859.s013.pdf (1.9MB, pdf)
S5 File. PRISMA DTA Checklist.

(DOC)

pone.0321859.s014.doc (82.5KB, doc)
S6 File. Included studies.

(XLSX)

pone.0321859.s015.xlsx (17.5KB, xlsx)
S7 File. Full citation list.

(ZIP)

pone.0321859.s016.zip (3.4MB, zip)

Acknowledgments

We would like to thank John Matelski for his assistance with statistical planning.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

Our project was supported by funding from the Department of Obstetrics and Gynaecology at Sinai Health, Toronto, Ontario, Canada. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Qinghua Shi

7 Jan 2025

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Reviewer #1: Partly

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Reviewer #1: Yes

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Reviewer #1:  Below are my detailed comments and suggestions for the authors:

1. Expand on the controversies surrounding the clinical application of PGT-A, particularly the challenges and implications of mosaic embryo diagnoses.

2. Provide additional background on the clinical consequences of false-positive and false-negative results for patient counseling.

3. Clarify how the inclusion and exclusion criteria were applied to studies with mixed designs or incomplete data reporting.

4. Address how the authors handled studies with unclear risk of bias as assessed by the QUADAS-2 tool and its potential impact on the conclusions.

5. Justify the inclusion of conference abstracts and discuss how this might affect the robustness of the analysis.

6. Acknowledge and discuss the substantial heterogeneity in some analyses, particularly in mosaic embryo predictive values (e.g., high I² values).

7. Provide additional context on the clinical significance of predictive intervals and discuss how they influence decision-making in clinical practice.

8. Highlight any notable differences in diagnostic accuracy between genetic platforms (e.g., NGS vs. aCGH).

9. Expand on the clinical implications of the findings, particularly the management of mosaic embryos, and explore alternative strategies such as complementary diagnostic methods or second biopsies.

10. Discuss the potential influence of publication bias, particularly the possible underrepresentation of studies with negative findings.

11. Elaborate on how study selection criteria (e.g., inclusion of donated embryos) might introduce partial verification bias or limit generalizability.

12. Ensure technical terms, such as predictive intervals, are briefly explained for a broader audience, including non-genetics specialists.

13. Review the manuscript for potential redundancy and enhance the clarity of key findings to improve readability.

14. Consider adding annotations to figures and tables to highlight clinically relevant thresholds or differences between embryo categories.

15. Provide a brief explanation of how subgroup analyses (e.g., biopsy stage, genetic platforms) contribute to the overall conclusions.

**********

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PLoS One. 2025 May 14;20(5):e0321859. doi: 10.1371/journal.pone.0321859.r003

Author response to Decision Letter 1


13 Feb 2025

Response to the editors

Thank you for considering our manuscript for publication in Plos One and taking the time for such a careful review. We have addressed the reviewer’s comments below and made the requested edits. We look forward to hearing a positive response.

Reviewer #1: Below are my detailed comments and suggestions for the authors:

1. Expand on the controversies surrounding the clinical application of PGT-A, particularly the challenges and implications of mosaic embryo diagnoses.

Response: We have addressed some of the controversies, particularly with mosaicism in the discussion.

Line 344: The incidence of mosaicism ranges from 5-15%, which varies by clinic, embryology practices and testing facilities.(130) This additional layer of complexity in the use of PGT-A as a selection tool means that genetic counselling is essential to guide patients in decision-making: 1. To discard potentially healthy embryos and proceed with another IVF cycle due to lack of remaining embryos, or 2. To transfer with the potential for either failed implantation or pregnancy loss with the associated financial and emotional burden, as well as the delayed time to successful pregnancy. Certainly, it is important to closely monitor outcomes of these pregnancies to determine a more reliable estimate of diagnostic accuracy (130,131). In fact, in a survey of IVF centres, 95% (151/159) recommended prenatal diagnostic testing for confirmation and follow up.(132)

Line 363: Among the studies that had multiple TE biopsies and could compare to the ICM/WE for both aneuploid or mosaic results in TE1,(6,24,25,46,50,56,59,62,71) there was significant variability in TE2 or TE3 and how it reflected the “true” ICM/WE result. We would, therefore, not recommend a re-biopsy for this indication, as supported by the European Society of Human Reproduction and Embryology (ESHRE).(132) Rather, patients should be counselled of the possibility of the risk of inaccuracies in PGT-A testing.(130)

2. Provide additional background on the clinical consequences of false-positive and false-negative results for patient counseling.

Response: We added to the background:

Line 87: Those that screen positive (i.e., aneuploid or chromosomally abnormally) are not selected for transfer and often discarded

We added to the discussion paragraph:

Line 381: Encouraging patients to collect their POC tissue after a spontaneous pregnancy loss at home, sending the POC for cytogenetic analysis after D&C, or working with PGT-A reference labs to offer POC testing at no cost for adequate follow-up would help elucidate the misdiagnosis rate (or reason for pregnancy loss of an aneuploid conception) and potentially reduce the risk of detection bias. This would also serve to avoid unnecessary investigations and interventions for failed “euploid embryo transfer” in the case of a misdiagnosis. Thus, while the reported misdiagnosis rate per ET is 0.2%, indicating that approximately 2/1000 presumed euploid embryos are actually aneuploid and may explain a pregnancy loss or failed implantation, this is can only be a rough estimate and may only be “tip of the iceberg” as misdiagnosis of failed implantation cases simply cannot be quantified.

3. Clarify how the inclusion and exclusion criteria were applied to studies with mixed designs or incomplete data reporting.

Response: We included all studies that described their methodology to sufficient detail in their validation for replication. In the context of mixed designed (i.e. cell line study pre-validation and whole embryo study or pregnancy outcomes), all data were extracted separately and meta-analyzed in the appropriate group.

Line 119: We included all studies with sufficient detail in their validation for replication. We also included abstracts if full length manuscripts were not available, provided there was sufficient information for a two-by-two table

Line 189: Studies that conducted a mixed design (i.e. cell line pre-clinical validation and pregnancy outcomes) were extracted and meta-analyzed separately in their appropriate category.

4. Address how the authors handled studies with unclear risk of bias as assessed by the QUADAS-2 tool and its potential impact on the conclusions.

Response: We elected not to perform separate subgroup analyses based on QUADAS-2 tool as we anticipated unclear or high risk of bias for all of pregnancy outcomes studies just by their inherent design (apart from the non-selection studies, which were analyzed separately as planned). We anticipated high bias for the abstracts due to missing data, which were also analyzed as a subgroup analysis.

5. Justify the inclusion of conference abstracts and discuss how this might affect the robustness of the analysis.

Response: To mitigate the risk of publication bias and to be more inclusive, we decided to pre-emptively include abstracts to address this, provided there was enough information to extract for both the narrative review and/or meta-analysis.

Line 120: As we anticipated that many studies, particularly the pre-clinical designs, would demonstrate high validity and would not proceed to publication, we elected to include abstracts if full length manuscripts were not available, provided there was sufficient information for a narrative review and/or a two-by-two table.

6. Acknowledge and discuss the substantial heterogeneity in some analyses, particularly in mosaic embryo predictive values (e.g., high I² values).

Response:

Yes, the heterogeneity of PPV of aneuploid and mosaic embryos is high, as is the embryo transfer for aneuploid, non-selection or mosaic embryos. To help readers interpret this heterogeneity we have added information to the analysis section,

Line 168: We have reported I2, a measure of heterogeneity across studies where values > 75% indicate high variability across study results. To contextualise the heterogeneity, we have also computed prediction intervals, which indicates the range of effect sizes we would expect to see in a new study. Wide prediction intervals indicate high uncertainty in future results.

7. Provide additional context on the clinical significance of predictive intervals and discuss how they influence decision-making in clinical practice.

Additional context has been provided in the discussion,

Line 324: These wide intervals indicate a lack of certainty in the true misdiagnosis rate for mosaic and aneuploid embryos and suggest the need for future high quality studies to inform practice.

Discussion of clinical practice also provided on lines 344-351

8. Highlight any notable differences in diagnostic accuracy between genetic platforms (e.g., NGS vs. aCGH).

Response: Thank you for your comment. In the results section, we previously mentioned:

Line 219: We performed sensitivity analyses investigating the impact of PGT-A platforms (NGS vs other platforms), reference comparators of ICM biopsy or WE, and publication of results (conference abstract versus full text). There were no differences comparing NGS to other platforms or full-text publications compared to conference abstracts (S5, S6 Fig). Sample sizes in the other platforms groups and conference proceedings were too small to determine their impact. Measures of diagnostic accuracy were slightly higher when comparing ICM biopsy to the WE with less heterogeneity (S7 Fig). While the impact of stage of biopsy revealed a higher overall accuracy at blastocyst compared to cleavage embryos (84.3 vs 60.0), the heterogeneity was still high (> 80%) (S8 Fig).

We added to the discussion:

Line 298: While there was no significant difference in measures of accuracy by genetic platform used for PGT-A analysis, unsurprisingly, blastocyst biopsy had higher predictive value than cleavage-stage embryo, which is the standard of testing.

9. Expand on the clinical implications of the findings, particularly the management of mosaic embryos, and explore alternative strategies such as complementary diagnostic methods or second biopsies.

Response: See response to point 1 above

10. Discuss the potential influence of publication bias, particularly the possible underrepresentation of studies with negative findings.

Response: Publication bias is an unavoidable issue in all systematic reviews and meta-analyses. Analogous to how the misdiagnosis rate of euploid embryos is difficult to ascertain because failed implantation cases cannot be studied, the publication bias problem is not quantifiable. We have tried to be overly inclusive with abstracts and not just published manuscripts to partially address this issue (see response to question 5). Additionally, it is difficult to ascertain, in the context of this study question, what would actually constitute a “negative finding”. PGT-A has been utilized and evolving since the 1990s and widely applied in clinical medicine, even before randomized controlled trials could demonstrate its clinical benefit. The question then begs, do researchers “want” to publish studies that confirm it as a valid test or to disprove it as an invalid/inaccurate test. The included studies have ranged from nearly 100% accuracy to nearly 50% accuracy (as is the case with Gleicher’s study). However, we assumed that the preclinical testing that confirmed its accuracy (including the cell-lines and whole embryo/ICM studies) would get presented but not published due to the lack of “excitement” in their content, which is why we elected to include published abstracts.

11. Elaborate on how study selection criteria (e.g., inclusion of donated embryos) might introduce partial verification bias or limit generalizability.

Response: We have added information in the limitations section:

Line 437: In application to the WE/ICM studies included, most embryos evaluated were donated “aneuploid” or “poor quality” embryos. Due to the limited number of donated euploid-screened embryos, the results presented may be an inflation of the actual PPV, and calls into question the number of potentially healthy embryos we are discarding as a result of an erroneous “euploid” result.

12. Ensure technical terms, such as predictive intervals, are briefly explained for a broader audience, including non-genetics specialists.

Response: We have added additional text in the analysis section, please see the response to item 6.

13. Review the manuscript for potential redundancy and enhance the clarity of key findings to improve readability.

Response: We have made edits throughout the manuscript to minimize redundancy as suggested and highlighted key findings.

14. Consider adding annotations to figures and tables to highlight clinically relevant thresholds or differences between embryo categories.

Response: Thank you very much to this reviewer for all the excellent suggestions which we have addressed in the manuscript. We do not understand what the reviewer is asking for here, as we believe our figures and annotations to be quite clear for scientific and clinical interpretation. If there is something specific that should be edited in production review, we are happy with any suggestions.

15. Provide a brief explanation of how subgroup analyses (e.g., biopsy stage, genetic platforms) contribute to the overall conclusions.

Response: Thank you for your comment. See above for comment #8

Attachment

Submitted filename: Response to reviewers.docx

pone.0321859.s018.docx (57.6KB, docx)

Decision Letter 1

Qinghua Shi

12 Mar 2025

A systematic review and meta-analysis of the diagnostic accuracy after preimplantation genetic testing for aneuploidy

PONE-D-24-53437R1

Dear Dr. Vanessa Bacal,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Qinghua Shi

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

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Reviewer #1: All comments have been addressed

**********

-->2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. -->

Reviewer #1: Yes

**********

-->3. Has the statistical analysis been performed appropriately and rigorously? -->

Reviewer #1: Yes

**********

-->4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.-->

Reviewer #1: Yes

**********

-->5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.-->

Reviewer #1: Yes

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-->6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)-->

Reviewer #1: (No Response)

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Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy .-->

Reviewer #1: Yes:  Bo Xu

**********

Acceptance letter

Qinghua Shi

PONE-D-24-53437R1

PLOS ONE

Dear Dr. Bacal,

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on behalf of

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Forest plots for cell line studies.

    (DOCX)

    pone.0321859.s001.docx (323.5KB, docx)
    S2 Fig. Forest plots for cell lines studies subgroup analysis: NGS vs other genetic platform.

    (DOCX)

    pone.0321859.s002.docx (399.4KB, docx)
    S3 Fig. Forest plots for cell lines studies subgroup analysis: Conference abstract vs full text.

    (DOCX)

    pone.0321859.s003.docx (399.4KB, docx)
    S4 Fig. Forest plots for whole embryo or ICM studies: Measures of diagnostic accuracy.

    (DOCX)

    pone.0321859.s004.docx (434.9KB, docx)
    S5 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: NGS vs other genetic platform.

    (DOCX)

    pone.0321859.s005.docx (294.8KB, docx)
    S6 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: Conference abstract vs full text.

    (DOCX)

    pone.0321859.s006.docx (298.8KB, docx)
    S7 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: Whole embryo vs ICM.

    (DOCX)

    pone.0321859.s007.docx (297.7KB, docx)
    S8 Fig. Forest plots for whole embryo or ICM studies subgroup analysis: Blastocyst vs cleavage stage embryos.

    (DOCX)

    pone.0321859.s008.docx (290.8KB, docx)
    S1–11 Tables

    Characteristics for cell line studies, two-by-two tables all study types, and quality assessments for all study types.

    (DOCX)

    pone.0321859.s009.docx (82KB, docx)
    S1 File. Medline search strategy.

    (DOC)

    pone.0321859.s010.doc (24.5KB, doc)
    S2 File. Excluded studies with reasons for exclusion.

    (DOCX)

    pone.0321859.s011.docx (115.6KB, docx)
    S3 File. Cell line supplement results and discussion.

    (DOCX)

    pone.0321859.s012.docx (19.2KB, docx)
    S4 File. Prospero registration.

    (PDF)

    pone.0321859.s013.pdf (1.9MB, pdf)
    S5 File. PRISMA DTA Checklist.

    (DOC)

    pone.0321859.s014.doc (82.5KB, doc)
    S6 File. Included studies.

    (XLSX)

    pone.0321859.s015.xlsx (17.5KB, xlsx)
    S7 File. Full citation list.

    (ZIP)

    pone.0321859.s016.zip (3.4MB, zip)
    Attachment

    Submitted filename: Response to reviewers.docx

    pone.0321859.s018.docx (57.6KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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