Evidence map›Paper›PMID 30992670›Full record

ArticleOncoTargets and therapy2019

Comparison of CHOP vs CHOPE for treatment of peripheral T-cell lymphoma: a meta-analysis.

Shu Deng, Shenyun Lin, Jianping Shen, Yuqing Zeng

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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 at 1 institution in 1 country.

Shu DengDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medicine University, Hangzhou, Zhejiang 310006, China.
Shenyun LinDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medicine University, Hangzhou, Zhejiang 310006, China.
Jianping ShenDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medicine University, Hangzhou, Zhejiang 310006, China.
Yuqing ZengDepartment of Orthopedics, TongDe Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, China, kanlao767yiyu@163.com.
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) and CHOP plus etoposide (CHOPE) with regard to outcomes including efficacy and safety for patients with peripheral T-cell lymphoma (PTCL).

methodsRelevant literature was searched using PubMed, Embase, Wanfang, and CNKI for eligible trials comparing CHOP with CHOPE for treatment of PTCL. The following outcomes of PTCL patients were considered: complete response (CR), partial response (PR), overall response rate (ORR), and adverse events (AEs; grade >3). Risk ratios (RRs) were appropriately derived from fixed-effects or random-effects models.

resultsA total of five prospective or retrospective articles with 1,560 patients were elected for the meta-analysis. There were no significant differences in CR (RR =1.11, 95% CI: 0.73-1.67,

conclusionMeta-analysis suggested that there were no differences in therapeutic effect for patients with PTCL between CHOP and CHOPE groups with regards to CR, PR, and ORR, whereas the CHOPE group had significantly increased AEs (anemia and thrombocytopenia) compared to CHOP group.

Indexed as

adverse eventscomplete responseoverall response ratepartial responseperipheral T-cell lymphoma

Identifiers

PMID30992670
PMCPMC6445243
OpenAlexW2922545567

What OpenQuestion holds

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LicenceCC BY-NC
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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.