[Cytopathology and molecular diagnostics of non-small cell lung cancer (NSCLC)].

Jana Fassunke, Marianne Engels, Sonja Meemboor, Reinhard Buettner

Abstract readReview

In one paragraph

Review in Innere Medizin (Heidelberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jana FassunkeInstitut für Pathologie, Universitätsklinikum Köln und Medizinische Fakultät der Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.

Marianne EngelsInstitut für Pathologie, Universitätsklinikum Köln und Medizinische Fakultät der Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.

Sonja MeemboorInstitut für Pathologie, Universitätsklinikum Köln und Medizinische Fakultät der Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.

Reinhard BuettnerInstitut für Pathologie, Universitätsklinikum Köln und Medizinische Fakultät der Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland. reinhard.buettner@uk-koeln.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytological specimens from endobronchial aspirates and pleural effusions are frequently used materials in the diagnostics of non-small cell lung cancer (NSCLC). In the same way as histological samples from endobronchial and transbronchial biopsy material or computed tomography (CT)-guided needle biopsies, cytological specimens are eminently suitable for molecular and immunohistological biomarker diagnostics of NSCLC, provided optimal techniques and clear diagnostic algorithms are employed. This article presents the typical processing techniques and a scheme for biomarker analytics and discusses an optimal approach for comprehensive diagnostics of NSCLC. When cytological specimens are processed and used in this way, the analytics are equivalent to those from histopathological specimens. For a detailed and advanced description of cytological and molecular techniques on cytological specimens the reader is referred to our own review articles.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansImage-Guided BiopsyPathology, MolecularTomography, X-Ray ComputedBiomarker analyticsBiopsy, needleCell samplingCytological specimenNational network genomic medicine

Identifiers

PMID35925269

DOI10.1007/s00108-022-01365-1

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.