Evidence map›Paper›PMID 42206169›Full record

ArticleFrontiers in pharmacology2026

The combination of osimertinib and chemotherapy successfully enabled surgical resection of locally advanced lung adenocarcinoma: a Case Report.

Cheng-Yi Lin, Qun-Xian Zhang, Dan Li, Tao Zeng, Jun Zhang, Qiang Guo, Xiang-Yu Luo, Tao Liu

Abstract readCase Reports
In one paragraph

Article in Frontiers in pharmacology, 2026. 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

8 authors.

Cheng-Yi Lin *Department of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Qun-Xian Zhang *Department of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Dan Li *Department of Oncology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Tao ZengDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Jun ZhangDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Qiang GuoDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Xiang-Yu LuoDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Tao LiuDepartment of Cardiothoracic Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the case of a 33-year-old female with a 4.3 × 3.2 cm high-density mass in the apical segment of the right upper lobe, detected on non-contrast chest CT, which showed suspected invasion of the chest wall and other tissues. CT-guided lung biopsy confirmed lung adenocarcinoma, and genetic testing revealed an EGFR exon 19 deletion. The patient received neoadjuvant therapy with oral Osimertinib combined with chemotherapy. After 4 months of treatment, she underwent thoracoscopic right upper lobectomy, mediastinal lymph node dissection, and pleural adhesion lysis. Postoperative management included anti-infection therapy, expectorants, nebulization, and analgesia. The patient recovered well and was discharged on postoperative day five, with good general condition at follow-up. This case illustrates that neoadjuvant targeted therapy combined with chemotherapy can convert locally unresectable lung cancer to a resectable status and improve operative feasibility, thus offering valuable insights for clinical management.

Indexed as

CTEGFRlobectomylung adenocarcinomaOsimertinib

Identifiers

PMID42206169
PMCPMC13201978

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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.