Evidence map›Paper›PMID 25715258›Full record

Observational studyMedicine2015

Association of comorbidities with postoperative in-hospital mortality: a retrospective cohort study.

Felix Kork, Felix Balzer, Alexander Krannich, Björn Weiss, Klaus-Dieter Wernecke, Claudia Spies

Open access · goldAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. RoboticWorld journal of gastrointestinal surgery · 2020
    Article
  9. Observational
  10. Turkish journal of anaesthesiology and reanimation · 2019
    Article
  11. Risk stratification tools in emergency general surgery.Trauma surgery & acute care open · 2018
    Review
  12. Article
  13. Article
  14. Article
  15. Observational
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 at 1 institution in 1 country.

Felix KorkFrom the Department of Anesthesiology and Intensive Care Medicine (FK, FB, BW, CS), Campus Charité Mitte and Campus Virchow-Klinikum; Department of Biostatistics (AK), Coordination Centre for Clinical Trials, Campus Virchow-Klinikum; and Department of Biometry and SOSTANA GmbH (KDW), Charité-University Medicine Berlin, Berlin, Germany.
Felix Balzer
Alexander Krannich
Björn Weiss
Klaus-Dieter Wernecke
Claudia Spies
Centre Virchow-Villermé · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this article is to evaluate the American Society of Anesthesiologists Physical Status (ASA PS) and the Charlson comorbidity index (CCI) for the prediction of postoperative mortality. The ASA PS has been suggested to be equally good as the CCI in predicting postoperative outcome. However, these scores have never been compared in a broad surgical population. We conducted a retrospective cohort study in a German tertiary care university hospital. Predictive accuracy was compared using the area under the receiver-operating characteristic curves (AUROC). In a post hoc approach, a regression model was fitted and cross-validated to estimate the association of comorbidities and intraoperative factors with mortality. This model was used to improve prediction by recalibrating the CCI for surgical patients (sCCIs) and constructing a new surgical mortality score (SMS). The data of 182,886 patients with surgical interventions were analyzed. The CCI was superior to the ASA PS in predicting postoperative mortality (AUROCCCI 0.865 vs AUROCASAPS 0.833, P < 0.001). Predictive quality further improved after recalibration of the sCCI and construction of the new SMS (AUROCSMS 0.928 vs AUROCsCCI 0.896, P < 0.001). The SMS predicted postoperative mortality especially well in patients never admitted to an intensive care unit. The newly constructed SMS provides a good estimate of patient's risk of death after surgery. It is capable of identifying those patients at especially high risk and may help reduce postoperative mortality.

Indexed as

Health Status IndicatorsHospital MortalityAdultAgedComorbidityFemaleGermanyHumansIntensive Care UnitsMaleMiddle AgedPostoperative ComplicationsRetrospective Studies

Identifiers

PMID25715258
PMCPMC4554144
OpenAlexW2327966229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.