ArticleAmerican journal of translational research2025
Construction of a clinical predictive model for risk factors after laparoscopic surgery in patients with endometriosis based on pathologic characteristics.
Article in American journal of translational research, 2025. 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.
- Efficacy of goserelin combined with laparoscopic surgery for endometriosis and its effects on ovarian function and oxidative stress.American journal of translational research · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the correlation between preoperative pathologic characteristics and the risk of postoperative recurrence in endometriosis (EMs) patients, and to develop a clinical predictive model.
methodsA retrospective analysis was conducted on 164 EMs patients who underwent laparoscopic surgery between January 2022 and December 2023 at Peking University First Hospital Ningxia Women and Children's Hospital. Demographic and clinicopathologic data were collected, and patients were stratified by one-year recurrence status. Multivariable logistic regression identified independent recurrence risk factors, and a predictive nomogram was constructed. Model performance was evaluated using ROC curves, the Hosmer-Lemeshow goodness-of-fit test (HLGOF), calibration curves, and decision curve analysis.
resultsPostoperative recurrence occurred in 46 patients (28%) within one year. Univariate analysis revealed associations between recurrence and factors including dysmenorrhea history, abortion, pathologic type, American Society for Reproductive Medicine (ASRM) stage, abnormal uterine bleeding, posterior fornix tender nodules, uterine enlargement, accessory area thickening, and delivery history (all P<0.05). Multivariate analysis confirmed that abortion (OR=1.31), ASRM stage ≥III (OR=1.03), abnormal uterine bleeding (OR=1.72), and posterior fornix tender nodules (OR=1.34) were independent predictors (all P<0.05). The nomogram (Logit (P)=-3.30+1.31X
conclusionPreoperative pathologic features are significant predictors of recurrence after laparoscopic surgery for EMs. Monitoring these markers can help clinicians identify high-risk patients and provide more targeted treatment.
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.