ArticleScientific reports2024
A novel nomogram for predicting non-infectious fever in patients following laparoscopic myomectomy.
Article in Scientific reports, 2024. 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.
- Incidence of postoperative fever and bloodstream infections in gynecological surgical patients: a three-year retrospective surveillance.BMC infectious diseases · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to develop and validate a novel nomogram to predict the risk of non-infectious fever (NIF) in patients following laparoscopic myomectomy. A retrospective analysis was conducted on data from patients who underwent laparoscopic myomectomy between 2019 and 2023. Pertinent variables before, during, and after surgery were collected. Multivariate logistic regression analysis identified independent risk factors for postoperative NIF, from which a nomogram was constructed. The study included 576 patients, among whom 64 (11.1%) developed postoperative NIF. Multivariate analysis identified leiomyoma size, number of leiomyomas, preoperative hemoglobin levels, operative time, and estimated blood loss as independent risk factors for postoperative NIF. A predictive nomogram model incorporating these factors demonstrated good accuracy following internal validation. The developed nomogram represents the first tool tailored for predicting NIF after laparoscopic myomectomy. Its implementation can assist clinicians in early identification of high-risk patients, facilitating timely preventive and management strategies.
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.