Evidence map›Paper›PMID 23232076›Full record

ArticleMultidisciplinary respiratory medicine2012

Evaluation of current methods to detect the mutations of epidermal growth factor receptor in non-small cell lung cancer patients.

Jasmina Obradovic, Vladimir Jurisic

Abstract read
In one paragraph

Article in Multidisciplinary respiratory medicine, 2012. 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. Review
  4. Review
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.

Jasmina ObradovicFaculty of Medicine, University of Kragujevac, Svetozara Markovica 69, 34 000, Kragujevac, Serbia. vdvd@mailcity.com.
Vladimir Jurisic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many different methods were developed to detect commonly known mutations and to screen new mutations of the epidermal growth factor receptor in non-small cell lung cancer patients. Some of these methods are so sensitive as to be able to detect even one epidermal growth factor receptor mutant tumor cell among up to 1000-2000 normal cells. We have considered current methods chronologically reported to detect mutations in epidermal growth factor receptor in patients with non-small cell lung cancer. We also gave a short preview of their significance for routine clinical works. A Pub Med literature search was performed in order to demonstrate what methods are mostly used in mutation detection and to show their distribution through the last 10 years.

Identifiers

PMID23232076
PMCPMC3541097

What OpenQuestion holds

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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.