Evidence map›Paper›PMID 40022087›Full record

ArticleBMC cancer2025

Prediction of pathological response to neoadjuvant immunochemotherapy with baseline and post-treatment

Mimi Xu, Yafei Zhang, Kui Zhao, Haiping Jiang, Guangfa Wang, Yan Wu, Yu Wang, Nian Liu, Xinhui Su

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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
–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

6 citing papers in PubMed.

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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

9 authors.

Mimi Xu *Department of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yafei Zhang *Department of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Kui ZhaoDepartment of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Haiping JiangOncology Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Guangfa WangDepartment of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yan WuDepartment of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yu WangThe Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, China.
Nian LiuDepartment of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. liuniancheer@gmail.com.
Xinhui SuDepartment of Nuclear Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. suxinhui@zju.edu.cn.

Funding

Major plan of Jointly Constructed project by the Science and Technology Department of the State Administration of Traditional Chinese Medicine and the Zhejiang Provincial Administration of Traditional Chinese Medicine GZY-ZJ-KJ-24025National High Performance Medical Device Innovation Center Innovation Fund NMED2024CX-01-002National Key Research and Development Program of China 2023YFF0716000National Natural Science Foundation of China 82472013
6 · The paper itself

Abstract

backgroundNeoadjuvant immunochemotherapy (NICT) has shown promising therapeutic benefits in patients with locally advanced gastric cancer (LAGC). Our study aimed to predict the pathological response to NICT in LAGC before surgery by correlating the metabolic parameters of baseline and post-treatment

methodsThirty-six LAGC patients who received three cycles of NICT (combination of sintilimab and CapeOx), followed by radical surgery, were included in this study. Both baseline

resultsOut of the 36 patients, 13 patients had a good response (GR), which included 5 cases with TRG 0 and 8 cases with TRG 1. Conversely, 23 patients exhibited a poor response (PR), with 20 patients having TRG 2 and 3 patients having TRG 3. Univariate analysis revealed that pMTV and pTLG in the GR group were significantly lower compared to the PR group (all p < 0.05). The identified cutoff values of pMTV and pTLG were 1.68 cm³ (area under the cure (AUC) = 0.683) and 4.71 cm³ (AUC = 0.683) for the GR and PR groups, respectively. On receiver operating characteristic (ROC) curve analyses, these values corresponded to sensitivity, specificity, and accuracy of 68.8%, 80.0%, and 73.1%, respectively, with no statistically significant differences between them after the DeLong test and McNemar test (all p > 0.05). Furthermore, bSUV

conclusionsImaging biomarkers from the combination of baseline and post-treatment

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyStomach NeoplasmsAdultAgedAntibodies, Monoclonal, HumanizedCapecitabineFemaleHumansMaleMiddle AgedNeoadjuvant TherapyPrognosisRadiopharmaceuticalsRetrospective StudiesAntibodies, Monoclonal, HumanizedCapecitabineFluorodeoxyglucose F18RadiopharmaceuticalsGastric cancerImmunochemotherapyMetabolic parametersPET/CT

Identifiers

PMID40022087
PMCPMC11871599

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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.