Evidence map›Paper›PMID 38590425›Full record

ReviewAmerican journal of cancer research2024

Neoadjuvant therapy for non-small cell lung cancer and esophageal cancer.

Yunlong He, Yaqi Zhao, Muhammad Luqman Akhtar, Yu Li, Mingyan E, Huan Nie

Open access · bronzeAbstract readReview
In one paragraph

Review in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Yunlong HeSchool of Life Science and Technology, Harbin Institute of Technology Harbin 150008, Heilongjiang, China.
Yaqi ZhaoSchool of Life Science and Technology, Harbin Institute of Technology Harbin 150008, Heilongjiang, China.
Muhammad Luqman AkhtarSchool of Life Science and Technology, Harbin Institute of Technology Harbin 150008, Heilongjiang, China.
Yu LiSchool of Life Science and Technology, Harbin Institute of Technology Harbin 150008, Heilongjiang, China.
Mingyan EDepartment of Radiation Oncology, Harbin Medical University Cancer Hospital Harbin 150060, Heilongjiang, China.
Huan NieSchool of Life Science and Technology, Harbin Institute of Technology Harbin 150008, Heilongjiang, China.
Heilongjiang Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the major malignant tumors in the chest, non-small cell lung cancer (NSCLC) and esophageal cancer (EC) bring huge health burden to human beings worldwide. Currently, surgery is still the mainstay for comprehensive treatment for NSCLC and EC, but the prognosis is still poor as the results of cancer recurrence and distant metastasis. Neoadjuvant therapy refers to a single or combined treatment before surgery, aiming to improve the therapeutic effects of the traditional therapies. Unfortunately, the clinical outcomes and effects of neoadjuvant therapy are still controversial due to its apparent advantages and disadvantages, and different patients may respond differentially to the same scheme of neoadjuvant therapy, which makes it urgent and necessary to develop personalized scheme of neoadjuvant therapy for different individuals. Therefore, this review summarizes the novel schemes and strategies of neoadjuvant therapy, which may help to significantly improve of life quality of patients suffering from chest-related malignancies.

Indexed as

Chest-related tumorsesophageal cancerneoadjuvant therapynon-small cell lung cancer

Identifiers

PMID38590425
PMCPMC10998743
OpenAlexW4393985473

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.