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Perinatal Outcomes of Fetal Growth Restriction (FGR) and Small for Gestational Age (SGA) Defined by Delphi Criteria and Placental Growth Factor (PlGF): Preliminary Retrospective Data [ID 1303]

2025· article· en· W4410388394 on OpenAlexaff
Genevieve Dietrich, Karolina Grzyb, Adewumi Adanlawo, Eman Ramadan, Joshua Buse, Ernesto Antônio Figueiró-Filho

Bibliographic record

VenueObstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSmall for gestational ageFetal growthPlacental growth factorMedicineObstetricsIntrauterine growth restrictionGestational ageRetrospective cohort studyFetusPregnancyInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

INTRODUCTION: The objective was to investigate the associations between placental growth factor (PlGF) levels and adverse perinatal outcomes in pregnant patients diagnosed with fetal growth restriction (FGR)/small for gestational age (SGA) by Delphi criteria. METHODS: Data were collected between June 2022 and August 2024. Placental growth factor levels were interpreted based on gestational age. Data were analyzed using Delphi criteria: early-onset FGR (less than 32-week estimated fetal weight [EFW], less than 3%); late-onset FGR (greater than 32-week EFW, less than 3%); early-onset SGA (less than 32-week EFW, 4–10%); late-onset SGA (greater than 32-week EFW, 4–10%). Perinatal outcomes were defined as abnormal placental morphology (ultrasound), preeclampsia, intrauterine fetal demise (IUFD), cesarean birth rates, admission to neonatal intensive care unit (NICU), and confirmed maternal/fetal malperfusion (placental pathology). The study was approved by REB-USask #Bio3702. RESULTS: Seventy-six patients met the Delphi criteria for FGR/SGA. Low PlGF levels were more frequent in late-onset FGR (66%). There was a significant association between PLGF levels and the presence of FGR/SGA (P=.01). Abnormal placental morphology was more frequent in early-onset (53%) and late-onset (56%) FGR. Preeclampsia was more frequent in late-onset FGR (44%) and late-onset SGA (56%). Intrauterine fetal demise was more frequent in late-onset SGA (11%). Cesarean birth rates were higher in all four categories of FGR/SGA (56–71%). Admission to NICU was 59% in early-onset FGR and 78% in late-onset FGR. Confirmed placental pathology findings were present in greater than 50% of early/late-onset FGR. CONCLUSIONS/IMPLICATIONS: Low PlGF levels were associated with diagnosis of FGR/SGA (Delphi criteria). Early/late-onset FGR were associated with low PLGF levels, abnormal placental morphology, preeclampsia, cesarean birth, admission to NICU, and confirmed fetal/maternal vascular malperfusion. Late-onset SGA was associated with preeclampsia, IUFD, and cesarean birth.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.356
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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