Evidence map›Paper›PMID 26197868›Full record

ReviewJournal of cancer research and clinical oncology2016

Lung cancer: developments, concepts, and specific aspects of the new WHO classification.

Iver Petersen, Arne Warth

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Journal of thoracic disease · 2023
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  10. Preoperative Platelet to Albumin Ratio Predicts Outcome of Patients with Non-Small-Cell Lung Cancer.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2021
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  12. SilencingCancer management and research · 2021
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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

2 authors at 2 institutions in 1 country.

Iver PetersenInstitute of Pathology, University Hospital Jena, Ziegelmühlenweg 1, 07743, Jena, Germany. iver.petersen@med.uni-jena.de.
Arne WarthInstitute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Heidelberg University · DEJena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiagnostic methods and algorithms for the diagnosis of pulmonary neoplasms have considerably changed over the recent years. Based on large-scale molecular characterization studies and the development of targeted therapies, precise morphological, immunohistochemical, and molecular pathological tumor subtyping is now of utmost importance for evidence-based treatment decisions. Changes of diagnostic concepts initially referred to biopsies and cytology specimens but are now also transferred to resection specimens.

methodsThis review is focused on recent developments in morphological and immunohistochemical subtyping of pulmonary neoplasms and concepts of tumor progression. It also provides perspectives on relevant changes of diagnostic concepts within the context of the new WHO classification.

conclusionIt becomes apparent that a three-step diagnostic concept based on morphology, immunohistochemistry, and molecular pathology is important to meet the requirements of an increasingly more complex, interdisciplinary care of lung cancer patients and to allow for reliable, clinically meaningful tumor diagnoses.

Indexed as

HumansLungLung NeoplasmsNeoplasm StagingWorld Health OrganizationClassificationDiagnosisImmunohistochemistryLung cancerMolecular pathology

Identifiers

PMID26197868
PMCPMC11819351
OpenAlexW2235357440

What OpenQuestion holds

Textmetadata
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.