Evidence map›Paper›PMID 37787962›Full record

ReviewAbdominal radiology (New York)2023

Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy.

Juan Deng, Wenjuan Zhang, Min Xu, Junlin Zhou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. [Reflections on surgical management strategies for locally advanced gastric cancer after neoadjuvant immunotherapy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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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

4 authors.

Juan DengDepartment of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China.
Wenjuan ZhangDepartment of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China.
Min XuDepartment of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China.
Junlin ZhouDepartment of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China. lzuzjl601@163.com.ORCID 0000-0001-8109-6347

Funding

National Natural Science Foundation of China 82071872National Natural Science Foundation of China 82102151
6 · The paper itself

Abstract

Effective neoadjuvant chemotherapy (NAC) can improve the survival of patients with locally progressive gastric cancer, but chemotherapeutics do not always exhibit good efficacy in all patients. Therefore, accurate preoperative evaluation of the effect of neoadjuvant therapy and the appropriate selection of surgery time to minimize toxicity and complications while prolonging patient survival are key issues that need to be addressed. This paper reviews the role of three imaging methods, morphological, functional, radiomics, and artificial intelligence (AI)-based imaging, in evaluating NAC pathological reactions for gastric cancer. In addition, the advantages and disadvantages of each method and the future application prospects are discussed.

Indexed as

Stomach NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsArtificial IntelligenceChemotherapy, AdjuvantHumansNeoadjuvant TherapyEfficacy assessmentGastric cancerImagingNeoadjuvant chemotherapy

Identifiers

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.