ArticleSurgical infections2022
Predicting Surgical Site Infection Risk after Spinal Tuberculosis Surgery: Development and Validation of a Nomogram.
Article in Surgical infections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Risk factors for impaired surgical wound healing after spinal tuberculosis surgery: a retrospective comparative trial.Frontiers in surgery · 2026Article
- Nomogram Development and Feature Selection Strategy Comparison for Predicting Surgical Site Infection After Lower Extremity Fracture Surgery.Medicina (Kaunas, Lithuania) · 2025Article
- Development and validation of a nomogram prediction model for surgical site infection after instrumentation for degenerative lumbar spinal diseases.Perioperative medicine (London, England) · 2025Article
- A study on predicting impaired fasting glucose risk in Chinese adults based on individual characteristics.Frontiers in medicine · 2025Article
- Prediction models for risk assessment of surgical site infection after spinal surgery: A systematic review.North American Spine Society journal · 2024Review
- Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning.Annals of medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 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.