Evidence map›Paper›PMID 35692746›Full record

ReviewFrontiers in oncology2022

Individualized Treatment for Advanced Non-Small Cell Lung Cancer: A Case Report and Literature Review.

Qianqian Sun, Weiqing Li, Taorui Liu, Huiqin Guo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 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
0.6field-weighted citation impact, top 32% 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. 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

4 authors at 2 institutions in 1 country.

Qianqian SunDepartment of Thoracic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Weiqing LiDepartment of Thoracic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Taorui LiuDepartment of Thoracic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Huiqin GuoDepartment of Thoracic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Shijitan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of lung cancer is high and about 75% of the patients with lung cancer are found in the middle and advanced stage, which has a limited treatment strategy. Non-small cell lung cancer (NSCLC) accounts for about 85% of all lung cancers. In this article, we delineate the treatment process of a middle-aged male patient with advanced-stage lung cancer to explain the significance of individualized chemotherapy combined with immunotherapy and surgery. This patient has extensive bone metastasis with PS scores of 2. After nine cycles of preoperative neoadjuvant chemotherapy, surgery, and two cycles of postoperative adjuvant chemotherapy, the patient achieved complete response (CR) and his PS score was 0. Although there is a standard chemotherapy regimen for lung adenocarcinoma, the treatment effect varies because of individual differences. Comprehensive analysis of the characteristics of patients through a variety of means to develop a precise individualized chemotherapy plan will be a major direction of lung cancer treatment in the future. Additionally, surgical treatment for advanced lung cancer patients after chemotherapy can effectively reduce the primary lesion and prolong the survival time of patients.

Indexed as

chemotherapyimmunotherapyindividualized treatmentNSCLCsurgerytargeted therapy

Identifiers

PMID35692746
PMCPMC9179082
OpenAlexW4281572644

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.