Evidence map›Paper›PMID 24169348›Full record

ArticleBritish journal of cancer2014

Inflammation as a validated prognostic determinant in carcinoma of unknown primary site.

Z Mohamed, D J Pinato, F A Mauri, K-W Chen, P M-H Chang, R Sharma

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Development and Validation of a Novel Nomogram for Individualized Prediction of Survival in Cancer of Unknown Primary.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
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  8. Review
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  11. 2018 consensus statement by the Spanish Society of Pathology and the Spanish Society of Medical Oncology on the diagnosis and treatment of cancer of unknown primary.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Review
  12. Article
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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

6 authors at 2 institutions in 2 countries.

Z MohamedDepartment of Medical Oncology, Hammersmith Hospital, Imperial College NHS Trust, W120HS Du Cane Road, London, UK.
D J PinatoDepartment of Experimental Medicine, Imperial College London, Hammersmith Hospital, W120HS Du Cane Road, London, UK.
F A MauriDepartment of Histopathology, Imperial College London, Hammersmith Hospital, W120HS Du Cane Road, London, UK.
K-W ChenDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taiwan No. 201, Sec. 2, Shih-Pai Road, Taipei 112, Taiwan.
P M-H ChangDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taiwan No. 201, Sec. 2, Shih-Pai Road, Taipei 112, Taiwan.
R SharmaDepartment of Experimental Medicine, Imperial College London, Hammersmith Hospital, W120HS Du Cane Road, London, UK.
Hammersmith Hospital · GBTaipei Veterans General Hospital · TW

Funding

Wellcome Trust 100693
6 · The paper itself

Abstract

backgroundCarcinoma of unknown primary (CUP) is a clinical presentation with a poor prognosis. Inflammation-based prognostic systems are stage-independent prognostic predictors in various malignancies. We aimed to assess the accuracy of the modified Glasgow Prognostic Score (mGPS), neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) as objective prognostic models in CUP.

methodsWe derived inflammatory scores in 60 consecutive CUP referrals to the Imperial College oncology unit between 1996 and 2011. Patient demographics, treatment and staging data and full blood profiles were collected. An independent cohort of 179 patients presenting to the Taipei Veterens Hospital between 2000 and 2009 were used as a 'validation' data set. Uni- and multivariate survival analysis was used to predict the overall survival (OS).

resultsSixty patients were included: median age 61 (range: 33-86); 51% men; median OS 5.9 months (0.7-42.9); 88% with distant metastases. On univariate analysis NLR >5 (P=0.04) and mGPS (score 1-2) (P=0.03) correlated with OS. Multivariate analysis demonstrated significant hazard ratios for NLR; 2.02 (CI 1.0-4.1) (P=0.04) and mGPS; 1.52 (CI 1.0-2.3) (P=0.03). These findings were reinforced by analysis of the validation data.

conclusionNLR and mGPS are independent, externally validated prognostic markers in CUP, with superior objectivity compared with performance status.

Indexed as

AdultAgedAged, 80 and overFemaleHumansInflammationMaleMiddle AgedModels, StatisticalNeoplasm StagingNeoplasms, Unknown PrimaryPrognosisReproducibility of Results

Identifiers

PMID24169348
PMCPMC3887290
OpenAlexW1968917968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.