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Record W3115101711 · doi:10.1186/s12884-021-03763-z

RETRACTED ARTICLE: Prediction of intraperitoneal adhesions using striae gravidarum and scar characteristics in women undergoing repeated cesarean sections

2021· article· en· W3115101711 on OpenAlexaboutno aff
Mohamed Elprince, Omima T. Taha, Zakia M. Ibrahim, Rasha E. Khamees, Mahmoud A. Greash, Khaled A. Atwa, Ahmed Gadallah, Noha al-Okda, Radwa M. Abdel Aal, Mohamed F. Ibrahim, Ahmed A. Aboelroose, O Ashour, Asmaa M. Elgedawy, Amira M. Elbahie, Hanan M. Ghoneim, Amal A. Ahmed

Post-publication record

NatureRetraction
ReasonConcerns/Issues about Data;Investigation by Journal/Publisher;Original Data and/or Images not Provided and/or not Available;Unreliable Results and/or Conclusions;
Date9/15/2025 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2021
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineReproductive medicineObstetrics and gynaecologySurgeryCesarean deliveryAdhesionObstetricsPregnancy

Abstract

fetched live from OpenAlex

BACKGROUND: The current fact of increasing rates of cesarean deliveries is a catastrophe. Recurrent cesareans result in intraperitoneal adhesions that would lead to maternal morbidity during delivery. Great efforts are directed towards the prediction of intraperitoneal adhesions to provide the best care for laboring women. The aim of the current study was to evaluate the role of abdominal striae and cesarean scar characters in the prediction of intraperitoneal adhesions. METHODS: This was a case- control study conducted in the emergency ward of the obstetrics and gynecology department of a tertiary hospital from June to December 2019. The study was carried on patients admitted to the ward fulfilling particular inclusion and exclusion criteria. The study included two groups, group one was assessed for the presence of striae, and the degree of intraperitoneal adhesions was evaluated during the current cesarean section. Group two included patients without evidence of abdominal striae. They were evaluated for the severity of adhesions also after evaluation of the previous scar. Evaluation of the striae was done using Davey's scoring system. The scar was assessed using the Vancouver Scar Scale. The modified Nair's scoring system was used to evaluate intraperitoneal adhesions. RESULTS: The study group included 203 women, while the control group included 205 women. There were significant differences in the demographic characters of the recruited patients (p-value 0.001 for almost all variables). The mean Davey score in those with mild, moderate, and severe striae was 1.82 ± 0.39, 3.57 ± 0.5, and 6.73 ± 0.94, respectively (p-value < 0.001). Higher scores for the parameters of the Vancouver scale were present in patients with severe striae (1.69 ± 1.01, 1.73 ± 0.57, 2.67 ± 1.23, and 1.35 ± 1.06 for scar vascularity, pigmentation, pliability, and height respectively with a p-value of < 0.001 each). Thick intraperitoneal adhesions were noted significantly in women with severe striae [21 (43.75%), p-value < 0.001)]. The Davey's and Vancouver scores showed highly significant predictive performance in the prediction of intraperitoneal adhesions (p-value < 0.001). CONCLUSION: Abdominal striae and cesarean scar were significant predictors for intraperitoneal adhesions.

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)0.001
metaresearch head score (Gemma)0.006
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
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.251
Teacher spread0.227 · 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".

Quick stats

Citations17
Published2021
Admission routes1
Has abstractyes

Explore more

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