Evidence map›Paper›PMID 30210667›Full record

ReviewAmerican journal of translational research2018

New advances in immunotherapy for non-small cell lung cancer.

Haifeng Qin, Fang Wang, Hui Liu, Zhen Zeng, Shasha Wang, Xin Pan, Hongjun Gao

Abstract readReview
In one paragraph

Review in American journal of translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. An integrated analysis ofCancer innovation · 2022
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  20. Neoadjuvant Chemotherapy Increases Cytotoxic T Cell, Tissue Resident Memory T Cell, and B Cell Infiltration in Resectable NSCLC.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2021
    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

7 authors.

Haifeng QinDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.
Fang WangDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.
Hui LiuDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.
Zhen ZengDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.
Shasha WangDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.
Xin PanDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.
Hongjun GaoDepartment of Lung Cancer, 307th Hospital of Chinese People's Liberation Army Beijing 100071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy is one of the methods that can change the survival rate of patients with malignant tumors, in addition to surgery therapy, radiotherapy, chemotherapy and targeted therapy. Among various immunotherapy methods, immunoprecipitation inhibitors have been the most effective medications developed in recent years. At present, more in-depth studies have been conducted for two immune checkpoint inhibitor pathways, programmed cell death protein 1 (PD-1)/Programmed death-ligand 1 (PD-L1) and cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4), and a variety of medications for those above mentioned. The present study briefly reviews the results of clinical trials for relevant immune checkpoint inhibitors in lung cancer.

Indexed as

biomarkersCTLA-4immunotherapyNSCLCPD-1/PD-L1

Identifiers

PMID30210667
PMCPMC6129543

What OpenQuestion holds

Textmetadata
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.