Evidence map›Paper›PMID 28386662›Full record

ArticleInternational journal of colorectal disease2017

Inflammatory markers as early predictors of infection after colorectal surgery: the same cut-off values in laparoscopy and laparotomy?

Olivier Facy, Brice Paquette, David Orry, Nicolas Santucci, Paul Rat, Patrick Rat, Christine Binquet, Pablo Ortega-Deballon

Abstract read
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In one paragraph

Article in International journal of colorectal disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Meta-analysis of the Diagnostic Accuracy of C-Reactive Protein for Infectious Complications in Laparoscopic Versus Open Colorectal Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
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  14. Procalcitonin Levels in Post TACE Infection.Cancer management and research · 2020
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  16. Use of inflammatory markers in the early detection of infectious complications after laparoscopic colorectal cancer surgery with the ERAS protocol.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2018
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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

8 authors at 3 institutions in 1 country.

Olivier FacyDepartment of Digestive Surgery, Dijon University Hospital, 14, Rue Paul Gaffarel, 21079, Dijon Cedex, France. olivier.facy@chu-dijon.fr.
Brice PaquetteDepartment of Digestive Surgery, Besançon University Hospital, Besançon, France.
David OrryDepartment of Surgery, Anticancer Centre "Georges-François Leclerc", Dijon, France.
Nicolas SantucciDepartment of Digestive Surgery, Dijon University Hospital, 14, Rue Paul Gaffarel, 21079, Dijon Cedex, France.
Paul RatDepartment of Digestive Surgery, Dijon University Hospital, 14, Rue Paul Gaffarel, 21079, Dijon Cedex, France.
Patrick RatDepartment of Digestive Surgery, Dijon University Hospital, 14, Rue Paul Gaffarel, 21079, Dijon Cedex, France.
Christine BinquetINSERM, U866, Dijon, France.
Pablo Ortega-DeballonDepartment of Digestive Surgery, Dijon University Hospital, 14, Rue Paul Gaffarel, 21079, Dijon Cedex, France.
Inserm · FRCentre Georges François Leclerc · FRCentre Hospitalier Universitaire de Besançon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeC-reactive protein and procalcitonin are reliable early predictors of infection after colorectal surgery. However, the inflammatory response is lower after laparoscopy as compared to open surgery. This study analyzed whether a different cutoff value of inflammatory markers should be chosen according to the surgical approach.

methodsA prospective, observational study included consecutive patients undergoing elective colorectal surgery in three academic centers. All infections until postoperative day (POD) 30 were recorded. The inflammatory markers were analyzed daily until POD 4. Areas under the ROC curve and diagnostic values were calculated in order to assess their accuracy as a predictor of intra-abdominal infection.

resultsFive-hundred-one patients were included. The incidence of intra-abdominal infection was 11.8%. The median levels of C-reactive protein (CRP) and procalcitonin (PCT) were lower in the laparoscopy group at each postoperative day (p < 0.0001). In patients without intra-abdominal infection, they were also lower in the laparoscopy group (p = 0.0036) but were not different in patients presenting with intra-abdominal infections (p = 0.3243). In the laparoscopy group, CRP at POD 4 was the most accurate predictor of overall and intra-abdominal infection (AUC = 0.775). With a cutoff of 100 mg/L, it yielded 95.7% negative predictive value, 75% sensitivity, and 70.3% specificity for the detection of intra-abdominal infection.

conclusionThe impact of infection on inflammatory markers is more important than that of the surgical approach. Defining a specific cutoff value for early discharge according to the surgical approach is not justified. A patient with CRP values lower than 100 mg/L on POD 4 can be safely discharged.

Indexed as

AgedBiomarkersCalcitoninColorectal SurgeryC-Reactive ProteinFemaleHumansInflammationIntraabdominal InfectionsIntraoperative CareLaparoscopyLaparotomyMaleMiddle AgedPostoperative ComplicationsRisk FactorsBiomarkersCalcitoninC-Reactive ProteinAnastomotic leakC-reactive proteinDiagnostic accuracyIntra-abdominal infectionLaparoscopyProcalcitonin

Identifiers

PMID28386662
OpenAlexW2604369878

What OpenQuestion holds

Textmetadata
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.