ArticleTranslational pediatrics2023
Analysis of risk factors for postoperative bleeding and polyp recurrence in adolescents with gastric polyps treated with endoscopic mucosal resection: a retrospective cohort study.
Article in Translational pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 3 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The incidence of gastric polyps in adolescents has been increasing every year in recent years. Endoscopic mucosal resection (EMR) is one of the most common treatments for adults, but there are few reports on the association between EMR of gastric polyps and the occurrence of bleeding and recurrence after the procedure in adolescents. This study sought to analyze the independent risk factors for postoperative bleeding and polyp recurrence after EMR to provide a reference for reducing the occurrence of postoperative complications. Methods: We retrospectively analyzed the data of 579 adolescent patients who developed gastric polyps from June 2016 to June 2021. Postoperative follow-up was conducted for 1 year by telephone, e-mail, and outpatient review. The general characteristics of the study population were compiled using a general information questionnaire designed by the investigators. The relationship between the patients' clinical characteristics and postoperative bleeding or recurrence was analyzed using the chi-square test. A binary logistic regression analysis was conducted to analyze the independent risk factors for the occurrence of postoperative bleeding and polyp recurrence in patients. Results: The results of the binary logistic regression analysis showed that being female [odds ratio (OR) =0.306, P=0.009], polyps >1 cm in diameter (OR =2.557, P=0.029), polyps in gastric sinus (OR =3.889, P=0.032), sessile lesions (OR =0.398, P=0.036), the need for additional intraoperative sedation (OR =3.469, P=0.005), concurrent diverticulum (OR =3.570, P=0.004), and intraoperative bleeding (OR =4.855, P=0.001) were independent risk factors for postoperative bleeding. We also found that polyps >1 cm in diameter (OR =2.134, P=0.003), multiple polyps (OR =2.117, P=0.005), adenomatous polyps (OR =2.684, P=0.041), combined Conclusions: There is still a high probability of postoperative bleeding and polyp recurrence after EMR in adolescents with gastric polyps. Clinicians should pay close attention to the clinical features of polyps, such as polyp size, number, morphology, and pathological type, to identify the related risk factors as early as possible and reduce the probability of postoperative bleeding and polyp recurrence in patients.
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.