Evidence map›Paper›PMID 32676341›Full record

ArticleTranslational lung cancer research2020

Immuno-based therapeutic strategies for initial unresectable locally advanced non-small cell lung cancer: a case report.

Long Jiang, Jia Huang, Chongwu Li, Yaofeng Shen, Yonglun Zhang, Shun Lu, Qingquan Luo

Open access · diamondAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Long JiangShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Jia HuangShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Chongwu LiShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Yaofeng ShenShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Yonglun ZhangDepartment of Thoracic Surgery, Hubei Jianghan Oilfield General Hospital, Qianjiang 832003, China.
Shun LuShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Qingquan LuoShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China.
Shanghai Chest Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading global cause of cancer-related deaths. Even for patients who receive multidimensional treatment, the prognosis for locally advanced lung cancer is poor. The outcomes of neoadjuvant immunotherapy have been encouraging in many types of cancer, and especially lung cancer. However, the prognoses of patients with initially unresectable non-small cell lung cancer (NSCLC) with T4 or bulky swollen N2 lymph nodes are still unsatisfying, and novel therapeutic modalities are desperately needed. Here, we present a case of a patient with initially unresectable NSCLC with T4 and bulky swollen N2 lymph nodes, and present the argument for neoadjuvant immuno-based therapeutic strategies as a reasonable option for such patients.

Indexed as

immunotherapylung cancerNeoadjuvant therapy

Identifiers

PMID32676341
PMCPMC7354105
OpenAlexW3026137781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.