Evidence map›Paper›PMID 23551194›Full record

GuidelineArchives of pathology & laboratory medicine2013

Molecular testing guideline for selection of lung cancer patients for EGFR and ALK tyrosine kinase inhibitors: guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology.

Neal I Lindeman, Philip T Cagle, Mary Beth Beasley, Dhananjay Arun Chitale, Sanja Dacic, Giuseppe Giaccone, Robert Brian Jenkins, David J Kwiatkowski, Juan-Sebastian Saldivar, Jeremy Squire and 2 more

Erratum issuedOpen access · greenAbstract readPractice Guideline
In one paragraph

Guideline in Archives of pathology & laboratory medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 149 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 4 pooled it
48.3field-weighted citation impact, top 1% 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

149 citing papers in PubMed, 4 syntheses or guidelines pooled it, 427 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Molecular Biomarkers for the Evaluation of Colorectal Cancer.American journal of clinical pathology · 2017
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

12 authors at 1 institution in 4 countries.

Neal I LindemanDepartment of Pathology, Brigham & Women's Hospital, Boston, MA 02115-6110, USA. nlindeman@partners.org
Philip T Cagle
Mary Beth Beasley
Dhananjay Arun Chitale
Sanja Dacic
Giuseppe Giaccone
Robert Brian Jenkins
David J Kwiatkowski
Juan-Sebastian Saldivar
Jeremy Squire
Erik Thunnissen
Marc Ladanyi
Brigham and Women's Hospital · US

Funding

The Role of Focal Oncogene Amplifications in Lung CancerP01CA129243 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Piro Lito · 2007 to 2026
$31.2M
NCI NIH HHS P01 CA129243
6 · The paper itself

Abstract

objectiveTo establish evidence-based recommendations for the molecular analysis of lung cancers that are required to guide EGFR- and ALK-directed therapies, addressing which patients and samples should be tested, and when and how testing should be performed.

participantsThree cochairs without conflicts of interest were selected, one from each of the 3 sponsoring professional societies: College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology. Writing and advisory panels were constituted from additional experts from these societies. EVIDENCE: Three unbiased literature searches of electronic databases were performed to capture articles published from January 2004 through February 2012, yielding 1533 articles whose abstracts were screened to identify 521 pertinent articles that were then reviewed in detail for their relevance to the recommendations. Evidence was formally graded for each recommendation. CONSENSUS PROCESS: Initial recommendations were formulated by the cochairs and panel members at a public meeting. Each guideline section was assigned to at least 2 panelists. Drafts were circulated to the writing panel (version 1), advisory panel (version 2), and the public (version 3) before submission (version 4).

conclusionsThe 37 guideline items address 14 subjects, including 15 recommendations (evidence grade A/B). The major recommendations are to use testing for EGFR mutations and ALK fusions to guide patient selection for therapy with an epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) inhibitor, respectively, in all patients with advanced-stage adenocarcinoma, regardless of sex, race, smoking history, or other clinical risk factors, and to prioritize EGFR and ALK testing over other molecular predictive tests. As scientific discoveries and clinical practice outpace the completion of randomized clinical trials, evidence-based guidelines developed by expert practitioners are vital for communicating emerging clinical standards. Already, new treatments targeting genetic alterations in other, less common driver oncogenes are being evaluated in lung cancer, and testing for these may be addressed in future versions of these guidelines.

Indexed as

AdenocarcinomaAntineoplastic AgentsErbB ReceptorsLung NeoplasmsPatient SelectionProtein Kinase InhibitorsReceptor Protein-Tyrosine KinasesAnaplastic Lymphoma KinaseErlotinib HydrochlorideGefitinibGenetic TestingHumansMolecular Diagnostic TechniquesMolecular Targeted TherapyQuinazolinesSystematic Reviews as TopicALK protein, humanAnaplastic Lymphoma KinaseAntineoplastic AgentsEGFR protein, humanErbB ReceptorsErlotinib HydrochlorideGefitinibProtein Kinase InhibitorsQuinazolinesReceptor Protein-Tyrosine Kinases

Identifiers

PMID23551194
PMCPMC4162344
OpenAlexW2514360855

What OpenQuestion holds

Textmetadata
LicenceTDM
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.