Evidence map›Paper›PMID 32168066›Full record

ArticleClinical orthopaedics and related research2020

Is a Nomogram Able to Predict Postoperative Wound Complications in Localized Soft-tissue Sarcomas of the Extremity?

Meena Bedi, Cecilia G Ethun, John Charlson, Thuy B Tran, George Poultsides, Valerie Grignol, J Harrison Howard, Jennifer Tseng, Kevin K Roggin, Konstantinos Chouliaras and 5 more

Open access · greenAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Clinical orthopaedics and related research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Article
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  8. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Meena BediM. Bedi, J. Charlson, D. M. King, Departments of Radiation Oncology, Medical Oncology, and Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Cecilia G EthunC. G. Ethun, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
John CharlsonM. Bedi, J. Charlson, D. M. King, Departments of Radiation Oncology, Medical Oncology, and Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Thuy B TranT. B. Tran, G. Poultsides, Department of Surgery, Stanford University, Palo Alto, CA, USA.
George PoultsidesT. B. Tran, G. Poultsides, Department of Surgery, Stanford University, Palo Alto, CA, USA.
Valerie GrignolV. Grignol, J. H. Howard, Department of Surgery, The Ohio State University, Columbus, OH, USA.
J Harrison HowardV. Grignol, J. H. Howard, Department of Surgery, The Ohio State University, Columbus, OH, USA.
Jennifer TsengJ. Tseng, K. K. Roggin, Department of Surgery, University of Chicago Medicine, Chicago, IL, USA.
Kevin K RogginJ. Tseng, K. K. Roggin, Department of Surgery, University of Chicago Medicine, Chicago, IL, USA.
Konstantinos ChouliarasK. Chouliaras, K. Votanopoulos, Department of Surgery, Wake Forest University, Winston-Salem, NC, USA.
Konstantinos VotanopoulosK. Chouliaras, K. Votanopoulos, Department of Surgery, Wake Forest University, Winston-Salem, NC, USA.
Darren CullinanD. Cullinan, R. C. Fields, Department of Surgery Washington University, St. Louis, MO, USA.
Ryan C FieldsD. Cullinan, R. C. Fields, Department of Surgery Washington University, St. Louis, MO, USA.
Kenneth CardonaK. Cardona, Department of Surgery Emory University, Atlanta, GA, USA.
David M KingM. Bedi, J. Charlson, D. M. King, Departments of Radiation Oncology, Medical Oncology, and Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
Medical College of Wisconsin · USStanford University · USThe Ohio State University · USUniversity of Chicago · USWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative wound complications are challenging in patients with localized extremity soft-tissue sarcomas. Various factors have been associated with wound complications, but there is no individualized predictive model to allow providers to counsel their patients and thus offer methods to mitigate the risk of complications and implement appropriate measures. QUESTIONS/PURPOSES: We used data from multiple centers to ask: (1) What risk factors are associated with postoperative wound complications in patients with localized soft-tissue sarcomas of the extremity? (2) Can we create a predictive nomogram that will assess the risk of wound complications in individual patients after resection for soft-tissue sarcoma?

methodsFrom 2000 to 2016, 1669 patients undergoing limb-salvage resection for a localized primary or recurrent extremity soft-tissue sarcoma with at least 120 days of follow-up at eight participating United States Sarcoma Collaborative institutions were identified. Wound complications included superficial wounds with or without drainage, deep wounds with drainage because of dehiscence, and intentional opening of the wound within 120 days postoperatively. Sixteen variables were selected a priori by clinicians and statisticians as potential risk factors for wound complications. A univariate analysis was performed using Fisher's exact tests for categorical predictors, and Wilcoxon's rank-sum tests were used for continuous predictors. A multiple logistic regression analysis was used to train the prediction model that was used to create the nomogram. The prediction performance of the datasets was evaluated using a receiver operating curve, area under the curve, and calibration plot.

resultsAfter controlling for potential confounding factors such as comorbidities, functional status, albumin level, and chemotherapy use, we found that increasing age (odds ratio 1.02; 95% confidence interval, 1.00-1.03; p = 0.008), BMI (OR 1.05; 95% CI, 1.02-1.09; p = 0.004), lower-extremity location (OR 6; 95% CI, 2.87-12.69; p < 0.001), and neoadjuvant radiation (OR 2; 95% CI, 1.47-3.16; p < 0.001) were associated with postoperative wound complications (area under the curve 69.2% [range 62.8%-75.6%]).

conclusionsWe found that age, BMI, tumor location, and timing of radiation are associated with the risk of wound complications. Based on these factors, a validated nomogram has been established that can provide an individualized prediction of wound complications in patients with a resected soft-tissue sarcoma of the extremity. This may allow for proactive management with nutrition and surgical techniques, and help determine the delivery of radiation in patients with a high risk of having these complications. LEVEL OF EVIDENCE: Level III, therapeutic study.

Indexed as

NomogramsAge FactorsBody Mass IndexFemaleHumansLimb SalvageLower ExtremityMaleMiddle AgedNeoadjuvant TherapyOdds RatioPostoperative ComplicationsPredictive Value of TestsRadiotherapy, AdjuvantRetrospective StudiesRisk Factors

Identifiers

PMID32168066
PMCPMC7145071
OpenAlexW2980477721

What OpenQuestion holds

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Registered trials

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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.