Evidence map›Paper›PMID 35325636›Full record

ArticleThe Journal of surgical research2022

Consensus Current Procedural Terminology Code Definition of Source Control for Sepsis.

Shimena R Li, Robert M Handzel, Daniel Tonetti, Jason Kennedy, Katherine Shapiro, Matthew R Rosengart, Daniel E Hall, Christopher Seymour, Edith Tzeng, Katherine M Reitz

Abstract readConsensus Statement
In one paragraph

Article in The Journal of surgical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Shimena R LiDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: lisr@upmc.edu.
Robert M HandzelDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania; Departments of Critical Care and Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Daniel TonettiDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jason KennedyDepartments of Critical Care and Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Katherine ShapiroDepartment of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Matthew R RosengartDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania; Departments of Critical Care and Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Daniel E HallDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Christopher SeymourDepartments of Critical Care and Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Edith TzengDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Division of Vascular Surgery, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.
Katherine M ReitzDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Surgery, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania; Division of Vascular Surgery, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Vascular Surgery Research Training (VascTrain) ProgramT32HL098036 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Edith Tzeng · 2010 to 2026
$7.2M
NHLBI NIH HHS T32 HL098036NIA NIH HHS L30 AG064730
6 · The paper itself

Abstract

introductionUnlike antibiotic and perfusion support, guidelines for sepsis source control lack high-quality evidence and are ungraded. Internally valid administrative data methods are needed to identify cases representing source control procedures to evaluate outcomes.

methodsOver five modified Delphi rounds, two independent reviewers identified Current Procedural Terminology (CPT) codes pertinent to source control. In each round, codes with perfect agreement were retained or excluded, whereas disagreements were reviewed by the panelists. Manual review of 400 patient records meeting Sepsis-3 criteria (2010-2017) clinically adjudicated which encounters included source control procedures (gold standard). The performance of consensus codes was compared with the gold standard to assess sensitivity, specificity, predictive values, and likelihood ratios.

resultsOf 5752 CPT codes, 609 consensus codes represented source control procedures. Of 400 hospitalizations for sepsis, 39 (9.8%; 95% confidence interval [CI] 7.0%-13.1%) underwent gold standard source control procedures and 29 (7.3%; 95% CI 4.9-10.3%) consensus code-defined source control procedures. Thirty consensus codes were identified (20.0% gastrointestinal/intraabdominal, 10.0% genitourinary, 13.3% hepatopancreatobiliary, 23.3% orthopedic/cranial, 23.3% soft tissue, and 10.0% intrathoracic), which had 61.5% (95% CI 44.6%-76.6%) sensitivity, 98.6% (95% CI 96.8%-99.6%) specificity, 83.2% (95% CI 66.6%-92.4%) positive, and 95.9% (95% CI 93.9%-97.2%) negative predictive values. With pretest probability at sample prevalence, an identified consensus code had a posttest probability of 83.0% (95% CI 66.0%-92.0%), whereas consensus code absence had a probability of 4.0% (95% CI 3.0-6.0) for undergoing a source control procedure.

conclusionsUsing modified Delphi methodology, we created and validated CPT codes identifying source control procedures, providing a framework for evaluation of the surgical care of patients with sepsis.

Indexed as

Current Procedural TerminologySepsisHospitalizationHumansPredictive Value of TestsModified DelphiSepsisSeptic shockSource control

Identifiers

PMID35325636
PMCPMC9038628

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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.