Evidence map›Paper›PMID 29180849›Full record

SynthesisDrug design, development and therapy2017

Adjuvant immunotherapy of dendritic cells and cytokine-induced killer cells is safe and enhances chemotherapy efficacy for multiple myeloma in China: a meta-analysis of clinical trials.

Yan Wang, Benji Lv, Ke Li, Anqi Zhang, Hong Liu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Drug design, development and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
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

5 authors.

Yan WangDepartment of Clinical Laboratory.
Benji LvDepartment of Blood Transfusion.
Ke LiDepartment of Central Laboratory, Liaocheng People's Hospital, Liaocheng Clinical School of Taishan Medical University, Liaocheng, Shandong Province, China.
Anqi ZhangDepartment of Central Laboratory, Liaocheng People's Hospital, Liaocheng Clinical School of Taishan Medical University, Liaocheng, Shandong Province, China.
Hong LiuDepartment of Central Laboratory, Liaocheng People's Hospital, Liaocheng Clinical School of Taishan Medical University, Liaocheng, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to systematically evaluate the efficacy and safety of the combination of dendritic cells and cytokine-induced killer cells (DC-CIK) adjuvant immunotherapy and chemotherapy in the treatment of multiple myeloma (MM).

methodsClinical trials were gathered by searching Web of Science, PubMed, Embase, Cochrane Library, Wanfang, and CNKI database. Outcome measurements including therapeutic efficacy, prognosis, immune function, and adverse events were extracted and evaluated.

resultsA total of 12 trials including 594 MM patients were involved in this study for statistical analysis. Results indicated that compared to chemotherapy alone, the combination of DC-CIK immunotherapy with chemotherapy significantly improved patients' overall response rate (ORR, odds ratio [OR] =2.77, 95% confidence interval [CI] =1.88-4.10,

conclusionAdjuvant DC-CIK immunotherapy enhances the efficacy of chemotherapy for MM and improves prognosis probably by reconstructing immune function.

Indexed as

Adjuvants, ImmunologicAntineoplastic AgentsChinaClinical Trials as TopicCombined Modality TherapyCytokine-Induced Killer CellsDendritic CellsHumansMultiple MyelomaAdjuvants, ImmunologicAntineoplastic Agentsadjuvant immu-notherapycytokine-induced killer cellsdendritic cellsmeta-analysismultiple myeloma

Identifiers

PMID29180849
PMCPMC5695269

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.