Evidence map›Paper›PMID 24626067›Full record

ArticleThe Permanente journal2014

Accuracy of national surgery quality improvement program models in predicting postoperative morbidity in patients undergoing colectomy.

Jeffrey A Neale, Craig Reickert, Andrew Swartz, Subhash Reddy, Maher A Abbas, Ilan Rubinfeld

Abstract read
In one paragraph

Article in The Permanente journal, 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

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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. Laparoscopic wedge resection as an alternative to laparoscopic oncological colon resection for benign endoscopically unresectable colon polyps.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2021
    Article
  4. Article
  5. Review
  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

6 authors.

Jeffrey A NealeColorectal Surgeon in the Department of Surgery in the Division of Colon and Rectal Surgery at the Lee Memorial Health System in Fort Meyer, FL. Jeffneale@hotmail.com.
Craig ReickertColorectal Surgeon in the Division of Colon and Rectal Surgery at the Henry Ford Hospital in Detroit, MI. creicke1@hfhs.org.
Andrew SwartzMedical Student/Research Assistant in the Department of Surgery at the Henry Ford Hospital in Detroit, MI. answartz@med.wayne.edu.
Subhash ReddyGeneral Surgery Resident in the Department of General Surgery at the Cleveland Clinic Main Campus in Cleveland, OH. sreddydr@gmail.com.
Maher A AbbasChair of the Digestive Disease Institute of Cleveland Clinic Abu Dhabi in the United Arab Emirates and an Associate Professor of Surgery at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University in OH. abbasm@clevelandclinicabudhabi.ae.
Ilan RubinfeldDirector of the Surgical Intensive Care Units, Trauma Surgeon, and Associate Professor in the Department of Surgery in the Division of Trauma and Acute Care Surgery at the Henry Ford Hospital and the Center for Health System Research at the Henry Ford Health System in Detroit, MI. irubmd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Surgery Quality Improvement Program (NSQIP) is the standard for assessment of acuity-adjusted outcomes in surgery. The validity of NSQIP has not been well established in colorectal surgery. Technical and process variables, which NSQIP may not consider, affect morbidity rate.

objectiveA retrospective observational study was undertaken to determine the accuracy of NSQIP models in predicting morbidity for patients undergoing laparoscopic or open colectomy.

methodsNSQIP participant use files for 2005 to 2008 were obtained. Data were selected using Current Procedural Terminology coding for open or laparoscopic colectomy. NSQIP-generated predicted morbidities were used to create area under the receiver operator curves (AUROCs).

resultsAUROCs demonstrated an accurate predictive model if the value was above 0.8 and indicated a marginal predictor mode if below 0.7. The AUROC for the general NSQIP model was 0.817 (confidence interval [CI] = 0.815-0.819, p < 0.001). AUROC for the combined laparoscopic and open colectomy group was 0.703 (CI = 0.698-0.709, p value < 0.001). AUROCs for the individual laparoscopic and open colectomy groups were 0.627 (CI = 0.615-0.640, p < 0.001) and 0.701 (CI = 0.695-0.707, p < 0.001).

conclusionThis study demonstrates that although NSQIP-generated morbidities used to create AUROCs are accurate for patients in an overall surgical model, predictive models for morbidity are marginal for laparoscopic and open abdominal colectomies. NSQIP risk models tend to emphasize comorbidities rather than intraoperative details or technical aspects of colonic resections.

Indexed as

Postoperative ComplicationsQuality ImprovementAdultAgedColectomyEmergency TreatmentFemaleHumansLaparoscopyMaleMiddle AgedQuality Assurance, Health CareRetrospective StudiesROC Curve

Identifiers

PMID24626067
PMCPMC3951025

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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.