Evidence map›Paper›PMID 26706950›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2015

[Influence of Immunohistochemistry Scoring Criteria in Detecting EGFR Mutations].

Xin Feng, Chang Liu, Diansheng Zhong, Dongbo Xu, Chao Ning, Jie Wang

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Xin FengDepartment of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Chang LiuDepartment of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Diansheng ZhongDepartment of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Dongbo XuDepartment of Pathology, Tianjin Medical University, Tianjin 300070, China.
Chao NingDepartment of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Jie WangDepartment of Medical Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Tianjin Medical University General Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate immunohistochemistry (IHC) scoring criteria can guarantee the reliability of mutation detection results. Most current studies suggest that the "four-grade criterion" may be the best among all scoring systems. The aim of this study is to discuss the influence of different four-grade immunohistochemistry scoring criteria on the test results.

methodsThree different four-grade immunohistochemistry scoring criteria were respectively used to evaluate the EGFR status of 83 cases of non-small cell of lung cancer (NSCLC) samples. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), the agreement of each criterion compared with the gold standard, and whether statistical significance exists between each criterion were calculated.

resultsNo statistical difference was found among the three criteria in detecting EGFR mutations. All three criteria exhibit considerably better specificity than sensitivity. For samples with scores of "3+", PPV could reach up to 100%.

conclusionsNo definite best criterion is among different four-grade scoring criteria. Regardless of the kind of criterion used, the specificity of IHC method in detecting EGFR mutations is markedly better than the sensitivity. For samples with scores of "3+", mutation status can be confirmed, and samples can receive EGFR-TKI therapy directly.

Indexed as

MutationCarcinoma, Non-Small-Cell LungDNA Mutational AnalysisErbB ReceptorsHumansImmunohistochemistryLung NeoplasmsReproducibility of ResultsErbB Receptors

Identifiers

PMID26706950
PMCPMC6015181
OpenAlexW2217682453

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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.