ArticleJournal of clinical medicine2025
Predictive Risk Factors for Low Anterior Resection Syndrome (LARS) in Rectal Cancer-An Observational Cohort Study.
Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Incremental Predictive Value of Conventional MRI Pelvimetry for Major Low Anterior Resection Syndrome After Rectal Cancer Surgery.Journal of clinical medicine · 2026Article
- Association Between Radiotherapy (±Chemotherapy) and the Severity of Low Anterior Resection Syndrome After Rectal Cancer Surgery: Does Radiotherapy Separate Risk?Medical sciences (Basel, Switzerland) · 2026Observational
- Effectiveness of pelvic floor rehabilitation in the prevention and treatment of postoperative bowel symptoms in patients with rectal cancer: a systematic review and meta-analysis of randomized controlled trials.Journal of cancer survivorship : research and practice · 2026Review
- Bidirectional longitudinal associations between low anterior resection syndrome and stigma in patients with postoperative LARS: a cross-lagged panel study.Frontiers in public health · 2026Article
- Biomarker-integrated machine learning models for predicting treatment-related bowel dysfunction after rectal cancer surgery: a multicenter development and external validation study.Frontiers in medicine · 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.