Evidence map›Paper›PMID 36077636›Full record

ArticleCancers2022

Nomogram Predicting the Risk of Postoperative Major Wound Complication in Soft Tissue Sarcoma of the Trunk and Extremities after Preoperative Radiotherapy.

Zhengxiao Ouyang, Sally Trent, Catherine McCarthy, Thomas Cosker, Duncan Whitwell, Harriet Branford-White, Christopher Leonard Maxime Hardwicke Gibbons

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Zhengxiao OuyangDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Sally TrentDepartment of Oncology, Churchill Hospital, Oxford University Hospital Foundation Trust, Oxford OX3 7LE, UK.
Catherine McCarthyNuffield Orthopaedic Centre, Oxford University Hospital Foundation Trust, Oxford OX3 7LD, UK.
Thomas CoskerNuffield Orthopaedic Centre, Oxford University Hospital Foundation Trust, Oxford OX3 7LD, UK.ORCID 0000-0001-9505-7955
Duncan WhitwellNuffield Orthopaedic Centre, Oxford University Hospital Foundation Trust, Oxford OX3 7LD, UK.
Harriet Branford-WhiteNuffield Orthopaedic Centre, Oxford University Hospital Foundation Trust, Oxford OX3 7LD, UK.
Christopher Leonard Maxime Hardwicke GibbonsNuffield Orthopaedic Centre, Oxford University Hospital Foundation Trust, Oxford OX3 7LD, UK.
Nuffield Orthopaedic Centre · GBCentral South University · CNChurchill Hospital · GB

Funding

Natural Science Foundation of Hunan Province of Outstanding Yound Scholars 2021JJ20086Visiting Scholar Project from China Scholar Council 202006375045
6 · The paper itself

Abstract

Preoperative radiotherapy increases the risk of postoperative wound complication in the treatment of soft tissue sarcoma (STS). This study aims to develop a nomogram for predicting major wound complication (MaWC) after surgery. Using the Oxford University Hospital (OUH) database, a total of 126 STS patients treated with preoperative radiotherapy and surgical resection between 2007 and 2021 were retrospectively reviewed. MaWC was defined as a wound complication that required secondary surgical intervention. Univariate and multivariate regression analyses on the association between MaWC and risk factors were performed. A nomogram was formulated and the areas under the Receiver Operating Characteristic Curves (AUC) were adopted to measure the predictive value of MaWC. A decision curve analysis (DCA) determined the model with the best discriminative ability. The incidence of MaWC was 19%. Age, tumour size, diabetes mellitus and metastasis at presentation were associated with MaWC in the univariate analysis. Age, tumour size, and metastasis at presentation were independent risk factors in the multivariate analysis. The sensitivity and specificity of the predictive model is 0.90 and 0.76, respectively. The AUC value was 0.86. The nomogram constructed in the study effectively predicts the risk of MaWC after preoperative radiotherapy and surgery for STS patients.

Indexed as

limb preservationnomogrampreoperative radiotherapysoft tissue sarcomawound complication

Identifiers

PMID36077636
PMCPMC9454623
OpenAlexW4293010296

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.