Evidence map›Paper›PMID 34249414›Full record

ReviewAmerican journal of cancer research2021

Neoadjuvant immunotherapy for resectable non-small cell lung cancer.

Hui Xie, Xuejun Shi, Guangshun Wang

Open access · greenAbstract readReview
In one paragraph

Review in American journal of cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

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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.

Hui XieDepartment of Thoracic Surgery, Tianjin Baodi Hospital, Baodi Clinical College of Tianjin Medical University Tianjin 301800, China.
Xuejun ShiDepartment of Thoracic Surgery, Tianjin Baodi Hospital, Baodi Clinical College of Tianjin Medical University Tianjin 301800, China.
Guangshun WangDepartment of Thoracic Surgery, Tianjin Baodi Hospital, Baodi Clinical College of Tianjin Medical University Tianjin 301800, China.
Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the malignant tumor with the highest morbidity and mortality in the world. In recent ten years, with the emergence of new drugs and the optimization of treatment mode, the treatment of lung cancer is entering an era of precision and individualization. Neoadjuvant therapy can reduce tumor size, degrade tumor stage, kill circulating tumor cells and micrometastases in the body, afford operation possibility, and benefit the long-term survival of patients. However, the traditional neoadjuvant chemotherapy combined with surgical treatment seems to have entered the bottleneck period of efficacy and is difficult to achieve breakthrough progress. At the same time, the amazing efficacy of immunotherapy is gradually innovating the treatment mode of lung cancer. In recent years, the research data of immune checkpoint inhibitors in the treatment of non-small cell lung cancer (NSCLC) shows an explosive growth. Immunotherapy has been applied to the first-line treatment of advanced NSCLC. Therefore, some clinical trials have applied immunotherapy to neoadjuvant treatment of resectable NSCLC patients. In this paper, the efficacy, possible mechanisms, potential risks and existing problems of neoadjuvant immunotherapy for resectable NSCLC patients are reviewed, and the future development direction of neoadjuvant immunotherapy is discussed.

Indexed as

immune checkpoint inhibitorsNeoadjuvant immunotherapynon-small cell lung cancerresectable

Identifiers

PMID34249414
PMCPMC8263648
OpenAlexW3179218268

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.