Evidence map›Paper›PMID 24064979›Full record

ArticleBritish journal of cancer2013

Montreal prognostic score: estimating survival of patients with non-small cell lung cancer using clinical biomarkers.

B Gagnon, J S Agulnik, I Gioulbasanis, G Kasymjanova, D Morris, N MacDonald

Abstract read
In one paragraph

Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2015
    Article
  8. Article
  9. Predictive Modeling for End-of-Life Pain Outcome using Electronic Health Records.Advances in data mining. Industrial Conference on Data Mining · 2015
    Article
  10. Cachexia Index in Advanced Non-Small-Cell Lung Cancer Patients.Clinical Medicine Insights. Oncology · 2015
    Article
  11. Article
  12. 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.

B GagnonDepartment of Family Medicine and Emergency Medicine, Université Laval, Centre de Recherché du Le Centre Hospitalier Universitaire de Québec, 9 rue McMahon, Local 1899-6, Quebec, Quebec City, Quebec QC G1R 2J6, Canada.
J S Agulnik
I Gioulbasanis
G Kasymjanova
D Morris
N MacDonald

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundFor evidence-based medical practice, well-defined risk scoring systems are essential to identify patients with a poor prognosis. The objective of this study was to develop a prognostic score, the Montreal prognostic score (MPS), to improve prognostication of patients with incurable non-small cell lung cancer (NSCLC) in everyday practice.

methodsA training cohort (TC) and a confirmatory cohort (CC) of newly diagnosed patients with NSCLC planning to receive chemotherapy were used to develop the MPS. Stage and clinically available biomarkers were entered into a Cox model and risk weights were estimated. C-statistics were used to test the accuracy.

resultsThe TC consisted of 258 patients and the CC consisted of 433 patients. Montreal prognostic score classified patients into three distinct groups with median survivals of 2.5 months (95% confidence interval (CI): 1.8, 4.2), 8.2 months (95% CI: 7.0, 9.4) and 18.2 months (95% CI: 14.0, 27.5), respectively (log-rank, P<0.001). Overall, the C-statistics were 0.691 (95% CI: 0.685, 0.697) for the TC and 0.665 (95% CI: 0.661, 0.670) for the CC.

conclusionThe MPS, by classifying patients into three well-defined prognostic groups, provides valuable information, which physicians could use to better inform their patients about treatment options, especially the best timing to involve palliative care teams.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCohort StudiesFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedPrognosisReproducibility of ResultsRetrospective StudiesSeverity of Illness IndexSurvival RateBiomarkers, Tumor

Identifiers

PMID24064979
PMCPMC3798950

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LicenceCC BY-NC-SA
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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.