Evidence map›Paper›PMID 26319317›Full record

ArticleLung cancer (Amsterdam, Netherlands)2015

Validation of survival prognostic models for non-small-cell lung cancer in stage- and age-specific groups.

Xiaofei Wang, Lin Gu, Ying Zhang, Daniel J Sargent, William Richards, Apar Kishor Ganti, Jeffery Crawford, Harvey Jay Cohen, Thomas Stinchcombe, Everett Vokes and 1 more

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

11 authors.

Xiaofei WangDepartment of Biostatistics & Bioinformatics and Alliance Statistics and Data Center, Duke University, Durham, NC, United States. Electronic address: xiaofei.wang@duke.edu.
Lin GuDepartment of Biostatistics & Bioinformatics and Alliance Statistics and Data Center, Duke University, Durham, NC, United States.
Ying ZhangDepartment of Biostatistics & Bioinformatics and Alliance Statistics and Data Center, Duke University, Durham, NC, United States.
Daniel J SargentAlliance Statistics and Data Center, Mayo Clinic, Rochester, MN, United States.
William RichardsBrigham and Women's Hospital, Boston, MA, United States.
Apar Kishor GantiDepartment of Internal Medicine, VA Nebraska Western Iowa Health Care System and University of Nebraska Medical Center, Lincoln, NE, United States.
Jeffery CrawfordDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Harvey Jay CohenDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Thomas StinchcombeDepartment of Medicine, University of North Carolina, Chapel Hill, NC, United States.
Everett VokesDepartment of Medicine, University of Chicago, Chicago, IL, United States.
Herbert PangDepartment of Biostatistics & Bioinformatics and Alliance Statistics and Data Center, Duke University, Durham, NC, United States; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.

Funding

Member Site CoreU10CA180821 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Evanthia Galanis · 2014 to 2026
$177.3M
CANCER AND LEUKEMIA GROUP B MINORITY SATELLITE SUPPLEMENU10CA031946 · NCI · UNIVERSITY OF CHICAGO · PI BERTAGNOLLI, MONICA M · 1985 to 2013
$158.4M
Statistics CoreU10CA180882 · NCI · MAYO CLINIC ROCHESTER · PI Sumithra Jay Mandrekar · 2014 to 2026
$115.0M
CANCER &LEUKEMIA GROUP B STATISTICAL CENTERU10CA033601 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SARGENT, DANIEL J. · 1985 to 2013
$69.4M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
CANCER AND LEUKEMIA GROUP B GRANT REVISED APPLICATIONU10CA041287 · NCI · UNIVERSITY OF CHICAGO · PI KINDLER, HEDY L · 1986 to 2013
$3.9M
NCTN Lead Academic Participating Sites ApplicationU10CA180838 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAREY, LISA A · 2014 to 2018
$2.8M
CANCER AND LEUKEMIA GROUP BU10CA047577 · NCI · DUKE UNIVERSITY · PI CRAWFORD, JEFFREY · 1988 to 2013
$2.2M
CANCER AND LEUKEMIA GROUP BU10CA047559 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEA, THOMAS C. · 1991 to 2013
$1.8M
Translational meta-analysis for elderly lung cancer patientsR21AG042894 · NIA · DUKE UNIVERSITY · PI PANG, HERBERT, WANG, XIAOFEI · 2013 to 2014
$373k
NCI NIH HHS CA180821NCI NIH HHS CA31946NCI NIH HHS CA33601NCI NIH HHS CA41287NCI NIH HHS CA47559NCI NIH HHS CA47577NCI NIH HHS P01 CA142538NCI NIH HHS U10 CA031946NCI NIH HHS U10 CA033601NCI NIH HHS U10 CA041287NCI NIH HHS U10 CA047559NCI NIH HHS U10 CA047577NCI NIH HHS U10 CA180821NCI NIH HHS U10CA180821NCI NIH HHS U10 CA180838NCI NIH HHS U10 CA180882NCI NIH HHS U10CA180882NIA NIH HHS 5R21AG042894NIA NIH HHS R21 AG042894
6 · The paper itself

Abstract

purposePrognostic models have been proposed to predict survival for non-small-cell lung cancer (NSCLC). It is important to evaluate whether these models perform better than performance status (PS) alone in stage- and age-specific subgroups. PATIENTS AND

methodsThe validation cohort included 2060 stage I and 1611 stage IV NSCLC patients from 23CALGB studies. For stage I, Blanchon (B), Chansky (C) and Gail (G) models were evaluated along with the PS only model. For stage IV, Blanchon (B) and Mandrekar (M) models were compared with the PS only model. The c-index was used to assess the concordance between survival and risk scores. The c-index difference (c-difference) and the integrated discrimination improvement (IDI) were used to determine the improvement of these models over the PS only model.

resultsFor stage I, B and PS have better survival separation. The c-index for B, PS, C and G are 0.61, 0.58, 0.57 and 0.52, respectively, and B performs significantly better than PS with c-difference=0.034. For stage IV, B, M and PS have c-index 0.61, 0.64 and 0.60, respectively; B and M perform significantly better than PS with c-difference=0.015 and 0.033, respectively.

conclusionAlthough some prognostic models have better concordance with survival than the PS only model, the absolute improvement is small. More accurate prognostic models should be developed; the inclusion of tumor genetic variants may improve prognostic models.

Indexed as

AgedCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisIndependent validationNon-small-cell lung cancer (NSCLC)Performance statusPrognostic models

Identifiers

PMID26319317
PMCPMC4619143

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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.