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Record W4414301267 · doi:10.1002/pmf2.70107

Consensus update on twin‐twin transfusion syndrome staging: An international Delphi study

2025· article· en· W4414301267 on OpenAlexaff
Bettina Paek, Martin Walker, Liesbeth Lewi, Femke Slaghekke, Sarah Običan, Ramesha Papanna, Manisha Gandhi, Mahesh Choolani, Vickie A. Feldstein, Anthony J. Johnson, Anita J. Moon‐Grady, Lynn L. Simpson, Kurt Hecher, Greg Ryan, Shinjiro Hirose, Jena L. Miller

Bibliographic record

VenuePregnancy · 2025
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsDelphi methodDelphiSpecialtyIdentification (biology)Clinical PracticeMEDLINESubgroup analysis

Abstract

fetched live from OpenAlex

Abstract Introduction Twin‐twin transfusion syndrome (TTTS) affects approximately 15% of monochorionic pregnancies and results in poor outcomes without treatment. The Quintero staging system has been used to characterize the severity of the syndrome and has been widely adopted due to its simplicity. However, it has been interpreted to indicate a chronological and synchronous evolution of TTTS disease that has been increasingly called into question. We sought to update the current staging system for TTTS to reflect current understanding of the underlying pathophysiology and to optimize guidance for clinical decision making and future research. Methods A four‐round Delphi procedure was conducted among an international panel of experts on TTTS to obtain consensus on an updated staging system. A core group of experts chosen based on their scholarship, international reputation, and medical specialty provided input on fact statements for the first two rounds. A larger group of experts was included in Rounds 3 and 4 and participation in round 4 was not contingent on participation in round 3. Consensus was defined as agreement of ≥ 70%. Results A total of 462 experts from three continents were approached during the four rounds. The core group consisted of 16 experts, of which 15 (93.8%) completed all rounds. An additional 79 experts participated in round 3 (total of 94, response rate 20.3%) and an additional 18 experts participated in round 4 (total of 112, response rate 24.2%). Four areas of proposed changes were identified: (1) identification of a subgroup of monochorionic pregnancies at increased risk for progression to TTTS (“pre‐TTTS”), (2) differentiation between donor and recipient disease for stages III and IV, (3) modifications to critically abnormal fetal cardiovascular findings defining stage III TTTS, and (4) recognition that TTTS with evidence of severe cardiac compromise can present without a fluid discordance satisfying classic criteria for stage I (“atypical TTTS”). Conclusion The updated consensus‐based staging system for TTTS aims to improve clinical care by allowing earlier and more specific identification of disease, standardizing follow‐up, and facilitating more robust research into TTTS's natural history, management, and outcomes. Prospective validation is warranted to assess its clinical utility.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.323
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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