Evidence map›Paper›PMID 37250563›Full record

ArticlePakistan journal of medical sciences

Effects of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) targeted combined chemotherapy on immune function, tumor markers and oxidative stress in patients with stage IV lung adenocarcinoma.

Yanxiao Kun, Jian Wu, Shaomu Chen

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. 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, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Yanxiao KunYanxiao Kun, Department of Surgery II, Suzhou Hospital of Integrated, Traditional Chinese and Western Medicine, Suzhou 215000, Jiangsu Province, P.R. China.
Jian WuJian Wu, Department of Surgery II, Suzhou Hospital of Integrated, Traditional Chinese and Western Medicine, Suzhou 215000, Jiangsu Province, P.R. China.
Shaomu ChenShaomu Chen, Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 251000, Jiangsu Province, P.R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the effects of EGFR-TKI combined chemotherapy on immune function, tumor markers and oxidative stress in patients with stage-IV lung adenocarcinoma. Methods: This retrospective observational study included 116 patients with stage-IV lung adenocarcinoma, treated in The First Affiliated Hospital of Soochow University from January 2021 to January 2022. According to the treatment records, 60 patients that received pemetrexed + cisplatin for four courses were set as a Control-group and 56 patients that received EGFR-TKI + pemetrexed + cisplatin for four courses were set as an Observation-group. Changes in immune function, tumor marker levels and oxidative stress level in the two groups were analyzed and compared. Results: After the treatment, levels of CD3 Conclusion: Compared with systemic chemotherapy, EGFR-TKI targeted combined chemotherapy for stage-IV lung adenocarcinoma is associated with enhanced immune function of patients. It more effectively inhibits the growth and proliferation of tumor cells and reduces the level of oxidative stress.

Indexed as

Epidermal growth factor receptorImmunityOxidative stressStage-IV lung adenocarcinomaTargetingTumor markersTyrosine kinase inhibitor

Identifiers

PMID37250563
PMCPMC10214797
OpenAlexW4361004021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.