Current Controversies in Prenatal Diagnosis—Conference Debate 2024: All Fetuses Undergoing Fetal Therapy Should Have Exome Sequencing
Bibliographic record
Abstract
This manuscript summarises the debate held at the 2024 annual meeting of The International Society for Prenatal Diagnosis (ISPD). Experts discussed whether all fetuses undergoing fetal therapy should undergo exome sequencing. Arguments in favor included that, with increasing experience and better clinical availability, exome sequencing can yield valuable diagnostic and prognostic information beyond what is available from karyotyping and microarray. This additional information is often helpful in counseling parents and provides a better understanding of fetal conditions, allowing for personalised medicine and supporting advancements in disease-focused fetal therapies. On the contrary, however, significant concerns regarding availability and health equity were raised. Moreover, potential delays in care incurred by exome sequencing may negatively affect outcomes of fetal intervention. Finally, as the information gathered from genetic testing may or may not affect pregnancy management decisions beyond termination of pregnancy, many families may choose not to undertake testing. The arguments of both debaters document current controversies in exome sequencing and genetic testing in general. This was also reflected in a divided audience vote at the end of the debate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".