Evidence map›Paper›PMID 24877056›Full record

ReviewBioMed research international2014

Inflammation-based scores: a new method for patient-targeted strategies and improved perioperative outcome in cancer patients.

Dario Bugada, Massimo Allegri, Patricia Lavand'homme, Marc De Kock, Guido Fanelli

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The diagnostic efficacy of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in ovarian cancer.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
    Pooled it
  4. Article
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  7. Inflammation-based Scores in Patients With Pheochromocytoma.The Journal of clinical endocrinology and metabolism · 2025
    Article
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  14. Review
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  20. Serum Inflammation-based Scores in Endocrine Tumors.The Journal of clinical endocrinology and metabolism · 2021
    Review
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 at 4 institutions in 2 countries.

Dario BugadaDepartment of Anaesthesia and Intensive Care, Foundation IRCCS Policlinico San Matteo, P.le Golgi 19, 27100 Pavia, Italy ; SIMPAR (Study in Multidisciplinary Pain Research) Group, Italy.ORCID 0000-0002-8363-6674
Massimo AllegriSIMPAR (Study in Multidisciplinary Pain Research) Group, Italy ; Department of Surgical, Medical, Diagnostic and Pediatric Science, University of Pavia, Via Aselli 45, 27100 Pavia, Italy ; Pain Therapy Service, Foundation IRCCS Policlinico San Matteo, P.le Golgi 19, 27100 Pavia, Italy.
Patricia Lavand'hommeDepartment of Anesthesia and Perioperative Medicine, Catholic University of Louvain, St. Luc Hospital, 10 Avenue Hippocrate, 1200 Brussels, Belgium.
Marc De KockDepartment of Anesthesia and Perioperative Medicine, Catholic University of Louvain, St. Luc Hospital, 10 Avenue Hippocrate, 1200 Brussels, Belgium.
Guido FanelliSIMPAR (Study in Multidisciplinary Pain Research) Group, Italy ; Department of Anesthesia and Intensive Care, University of Parma, Via Gramsci 14, 43126 Parma, Italy.
UCLouvain · BEMETA Group · ITUniversity of Parma · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammatory response (SIR) has actually been shown as an important prognostic factor associated with lower postoperative survival in several types of cancer. Thus, the challenge for physicians is to find specific, low-cost, and highly reliable inflammatory markers, clearly correlated with prognosis and able to preoperatively stratify patient's risk. Inflammation is a promising target to improve perioperative outcome, and data show that anti-inflammation techniques have a great potential in the perioperative period of cancer surgery. Inflammation scores could be useful to stratify patients with a potential better response to anti-inflammation strategies. Furthermore, inflammation scores could prevent failure of clinical trials by a better definition of patients to be included in such trials; inflammation scoring could clarify the real role of different drugs and techniques on outcome after cancer surgery, defining if different therapies are required for different patients. The role of this review is to focus on the currently available scores, in order to clarify their rationale and to analyze the actual evidence and limits, providing physicians with an updated overview of the possible inflammation-based prognostic scores for cancer patients undergoing surgery.

Indexed as

Perioperative PeriodPostoperative ComplicationsSystemic Inflammatory Response SyndromeBiomarkers, TumorHumansNeoplasmsPrognosisBiomarkers, Tumor

Identifiers

PMID24877056
PMCPMC4022168
OpenAlexW1971800800

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.