Evidence map›Paper›PMID 17674096›Full record

ArticleWorld journal of surgery2007

Accuracy of the surgeons' clinical prediction of perioperative complications using a visual analog scale.

John C Woodfield, Ross A Pettigrew, Lindsay D Plank, Michael Landmann, Andre M van Rij

Abstract read
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In one paragraph

Article in World journal of surgery, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Comment on: "Integrating Human Intuition into Prediction Algorithms for Improved Surgical Risk Stratification".Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
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  7. Observational
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  13. Predicting morbidity of liver resection.Langenbeck's archives of surgery · 2018
    Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Sociodemographics and comorbidities influence decisions to undergo pancreatic resection for neoplastic lesions.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2010
    Article
  20. What is a surgical complication?World journal of surgery · 2008
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

John C WoodfieldDepartment of Surgery, University of Otago, Dunedin, New Zealand.
Ross A Pettigrew
Lindsay D Plank
Michael Landmann
Andre M van Rij
University of Otago · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to predict who will develop perioperative complications remains difficult because the etiology of adverse events is multifactorial. This study examines the preoperative and postoperative ability of the surgeon to predict complications and assesses the significance of a change in prediction.

methodsThis was a prospective study of 1013 patients. The surgeon assessed the risk of a major complication on a 100-mm visual analog scale (VAS) immediately before and after surgery. When the VAS score was changed, the surgeon was asked to document why. Patients were assessed up to 30 days postoperatively.

resultsSurgeons made a meaningful preoperative prediction of major complications (median score = 27 mm vs. 19 mm, p < 0.01), with an area under the receiver operating characteristic curve of 0.74 for mortality, 0.67 for major complications, and 0.63 for all complications. A change in the VAS score postoperatively was due to technical reasons in 74% of stated cases. An increased VAS score identified significantly more complications, but the improvement in the discrimination was small. When included in a multivariate model for predicting postoperative complications, the surgeon's VAS score functioned as an independent predictive variable and improved the predictive ability, goodness of fit, and discrimination of the model.

conclusionsClinical assessment of risk by the surgeon using a VAS score independently improves the prediction of perioperative complications. Including the unique contribution of the surgeon's clinical assessment should be considered in models designed to predict the risk of surgery.

Indexed as

Pain MeasurementAdolescentAdultAgedAged, 80 and overArea Under CurveChildDecision MakingFemaleHealth Status IndicatorsHumansMaleMiddle AgedOutcome Assessment, Health CarePostoperative ComplicationsProspective Studies

Identifiers

PMID17674096
OpenAlexW2037435678

What OpenQuestion holds

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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.