Evidence map›Paper›PMID 35813726›Full record

ArticleJournal of thoracic disease2022

Serum protein level as a predictor of therapeutic response and adverse effects associated with afatinib use.

Wang Chun Kwok, James Chung Man Ho, Terence Chi Chun Tam, Mary Sau Man Ip, David Chi Leung Lam

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

5 authors at 2 institutions in 2 countries.

Wang Chun KwokDepartment of Medicine, Queen Mary Hospital, Hong Kong, China.
James Chung Man HoDepartment of Medicine, The University of Hong Kong, Hong Kong, China.
Terence Chi Chun TamDepartment of Medicine, Queen Mary Hospital, Hong Kong, China.
Mary Sau Man IpDepartment of Medicine, The University of Hong Kong, Hong Kong, China.
David Chi Leung LamDepartment of Medicine, The University of Hong Kong, Hong Kong, China.
University of Hong Kong · HKQueen Mary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Afatinib is an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor with significant serum protein binding. Total protein level was found to be associated with plasma afatinib level. The trough serum concentration was shown to be associated with development of adverse effects. This study aims to explore the association between serum protein levels and clinical responses and adverse effects in advanced stage non-small cell lung cancer (NSCLC) treated with afatinib. Methods: This was a retrospective cohort study of Chinese patients with metastatic NSCLC harboring Results: Among 217 patients included, 91 were on afatinib as first line treatment and 126 as second line treatment. Higher serum protein levels, albumin levels and albumin to globulin ratio, were found to be associated with clinical response to afatinib among patients on first or second line setting. Among patients on first line afatinib with Eastern Cooperative Oncology Group Performance State (ECOG PS) at 1 or above, those with lower serum protein levels at baseline had higher risks of developing grade 2 or above gastrointestinal adverse effects. Among patients on second line afatinib and with ECOG PS at 1 or above, patients with lower serum protein levels at baseline had higher risks of developing grade 3 or above cutaneous adverse effects. Lower serum albumin to globulin ratio at baseline was associated with increased risks of grade 3 or above gastrointestinal adverse effects among patients with ECOG PS at 1 or above and no prior systemic chemotherapy. Conclusions: Serum protein, albumin level and serum albumin to globulin ratio may predict the response to afatinib and occurrence of adverse effects with afatinib treatment.

Indexed as

AfatinibalbuminEGFR mutationlung cancerprotein

Identifiers

PMID35813726
PMCPMC9264096
OpenAlexW4285047513

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.