Evidence map›Paper›PMID 32363125›Full record

ArticleOncoimmunology2020

Efficacy of adjuvant cytokine-induced killer cell immunotherapy in patients with colorectal cancer after radical resection.

Qiu-Zhong Pan, Jing-Jing Zhao, Chao-Pin Yang, Yu-Qing Zhou, Jun-Zhong Lin, Yan Tang, Jia-Mei Gu, Qi-Jing Wang, Yong-Qiang Li, Jia He and 6 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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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

16 authors at 3 institutions in 1 country.

Qiu-Zhong PanCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jing-Jing ZhaoCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Chao-Pin YangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yu-Qing ZhouDepartment of Pediatrics, Yuexiu District Children's Hospital, Guangzhou, China.
Jun-Zhong LinDepartment of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yan TangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jia-Mei GuCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Qi-Jing WangDepartment of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yong-Qiang LiDepartment of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jia HeDepartment of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Shi-Ping ChenDepartment of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Meng-Jia SongCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yue HuangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jie-Ying YangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
De-Sheng WengCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jian-Chuan XiaCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNJiangxi Provincial Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adjuvant chemotherapy after surgery is the standard treatment modality for stage III and part of stage II or stage IV colorectal cancer (CRC) patients. However, the 5-year overall survival (OS) rate remains unsatisfactory. Thus, developing combination therapies is essential to improve the prognosis of patients with CRC. The present study aimed to determine the effect of a sequential combination of cytokine-induced killer cell (CIK) infusion and chemotherapy for patients with CRC. 122 patients with CRC treated with postoperative adjuvant chemotherapy were retrospectively included in this study. Among them, 62 patients received adjuvant chemotherapy only (control group), while the other 60 patients, with similar demographic and clinical characteristics, received adjuvant chemotherapy and sequential CIK cell immunotherapy (CIK group). Survival analysis showed significantly improved disease free survival (DFS) and OS rates in the CIK group compared with the control group (log-rank test,

Indexed as

Colorectal NeoplasmsCytokine-Induced Killer CellsChemotherapy, AdjuvantCombined Modality TherapyDigestive System Surgical ProceduresFemaleHumansImmunotherapy, AdoptiveMaleMiddle AgedNeoplasm Recurrence, LocalRetrospective Studiesadjuvant chemotherapycolorectal cancerCytokine-induced killer cellsimmunotherapysurgery

Identifiers

PMID32363125
PMCPMC7185208
OpenAlexW3016381127

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.