ArticleInternational journal of women's health2026
Prediction of Placenta Accreta Spectrum Disorders in Complete Placenta Previa Complicated with Prior Cesarean.
Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A Predictive Imaging Model for Cervical PAS in Complete Placenta Previa Using Combined Ultrasound and MRI.International journal of women's health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate the predictive value of cervical volume, placental volume, and cervical length for placental accreta (PAS) in patients with complete placenta previa and a history of cesarean section. Patients and Methods: Three radiologists analyzed MRI images from 157 patients, using 3D Slicer to measure placental volume, cervical volume, and cervical length. The predictive efficacy of combining these three factors for PAS was assessed by plotting Receiver Operating Characteristic (ROC) curves. A scoring system was established, and its predictive accuracy relative to the combined model was evaluated by comparing the Area under Curve (AUC). Results: Among 157 patients, 72 were diagnosed with PAS. Results showed that increased placental volume and decreased cervical volume and length were significantly associated with PAS occurrence (P < 0.001). The combined AUC for predicting PAS was 0.891, with sensitivity of 87.31%, specificity of 83.95%, positive predictive value (PPV) of 82.16%, and negative predictive value (NPV) of 88.65%. The scoring system demonstrated superior predictive performance, with AUC increasing to 0.902, sensitivity at 88.72%, specificity at 84.21%, positive predictive value (PPV) at 82.66%, and negative predictive value (NPV) at 89.82%. Conclusion: Cervical volume, placental volume, and cervical length are effective indicators for predicting preterm labor. A scoring system developed based on these factors demonstrates higher accuracy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.