Evidence map›Paper›PMID 24395071›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2014

Development of an improved risk calculator for complications in proctectomy.

Scott K Sherman, Jennifer E Hrabe, Mary E Charlton, John W Cromwell, John C Byrn

Abstract readValidation Study
In one paragraph

Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Prospective Validation of the Iowa Rectal Surgery Risk Calculator.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2018
    Article
  4. Article
  5. Article
  6. 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

5 authors.

Scott K ShermanDepartment of Surgery, University of Iowa Carver College of Medicine, 200 Hawkins Drive, 4577 JCP, Iowa City, IA, 52242, USA.
Jennifer E Hrabe
Mary E Charlton
John W Cromwell
John C Byrn

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
University of Iowa Surgical Oncology Training GrantT32CA148062 · NCI · UNIVERSITY OF IOWA · PI WEIGEL, RONALD J · 2010 to 2020
$3.8M
NCI NIH HHS 5T32 CA148062-03NCI NIH HHS T32 CA148062
6 · The paper itself

Abstract

backgroundRectal surgery is associated with high complication rates, but tools to prospectively define surgical risk are lacking. Improved preoperative risk assessment could better inform patients and refine decision making by surgeons. Our objective was to develop a validated model for proctectomy risk prediction.

methodsWe reviewed non-emergent ACS-NSQIP proctectomy data from 2005 to 2011 (n = 13,385). Logistic regression identified variables available prior to surgery showing independent association with 30-day morbidity in 2010-2011 (n = 5,570). The resulting risk model's discrimination and calibration were tested against the NSQIP-supplied morbidity model, and performance was validated against independent 2005-2009 data.

resultsOverall morbidity for proctectomy in 2010-2011 was 40.2%; significantly higher than the 23.0 % rate predicted by the NSQIP-provided general and vascular surgery risk model. Frequent complications included bleeding (16.3%), superficial infection (9.2%), and sepsis (7.4%). Our novel model incorporating 17 preoperative variables provided better discrimination and calibration (p < 0.05) than the NSQIP model and was validated against the 2005-2009 data. A web-based calculator makes this new model available for prospective risk assessment.

conclusionsWe conclude that the NSQIP-supplied risk model underestimates proctectomy morbidity and that this new, validated risk model and risk prediction tool ( http://myweb.uiowa.edu/sksherman ) may allow clinicians to counsel patients with accurate risk estimates using data available in the preoperative setting.

Indexed as

Decision Support TechniquesModels, TheoreticalAgedFemaleHumansInternetMaleMiddle AgedPostoperative HemorrhageRectumRisk AssessmentRisk FactorsSepsisSurgical Wound Infection

Identifiers

PMID24395071
PMCPMC4016157

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.