Evidence map›Paper›PMID 24112697›Full record

ArticleCancer science2013

MIB-1 labeling index as a prognostic factor for patients with follicular lymphoma treated with rituximab plus CHOP therapy.

Eri Yamamoto, Naoto Tomita, Seiji Sakata, Naoko Tsuyama, Kengo Takeuchi, Yuki Nakajima, Kazuho Miyashita, Takayoshi Tachibana, Hirotaka Takasaki, Masatsugu Tanaka and 7 more

Abstract read
In one paragraph

Article in Cancer science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

17 authors.

Eri YamamotoDepartment of Internal Medicine and Clinical Immunology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Naoto Tomita
Seiji Sakata
Naoko Tsuyama
Kengo Takeuchi
Yuki Nakajima
Kazuho Miyashita
Takayoshi Tachibana
Hirotaka Takasaki
Masatsugu Tanaka
Chizuko Hashimoto
Hideyuki Koharazawa
Katsumichi Fujimaki
Jun Taguchi
Hiroshi Harano
Shigeki Motomura
Yoshiaki Ishigatsubo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MIB-1 labeling index, which is based on Ki67 immunostaining, is widely used to evaluate the proliferation of tumor cells in lymphoma. However, its clinical significance has not been fully assessed. We retrospectively evaluated the prognostic impact of the MIB-1 labeling index at the time of diagnosis, in 98 patients with follicular lymphoma (FL) grade 1-3b who were treated uniformly with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) therapy. The 5-year progression-free survival (PFS) for an MIB-1 labeling index of ≥10% (n = 60) and <10% (n = 38) was 35% and 61%, respectively (P = 0.015). The 5-year overall survival (OS) for an MIB-1 labeling index of ≥10% and <10% was 77% and 92%, respectively (P = 0.025). Pathological grading was not correlated with PFS or OS. In multivariate analysis, an MIB-1 labeling index of ≥10% was independently associated with poor PFS and OS. In conclusion, an MIB-1 labeling index of 10% is a useful cut-off level for predicting the prognosis of patients with FL.

Indexed as

AdultAgedAged, 80 and overAntibodies, Monoclonal, Murine-DerivedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideDisease-Free SurvivalDoxorubicinFemaleHumansKi-67 AntigenLymphoma, FollicularMaleMiddle AgedPrednisoneAntibodies, Monoclonal, Murine-DerivedAntineoplastic AgentsCyclophosphamideDoxorubicinKi-67 AntigenPrednisoneRituximabVincristine

Identifiers

PMID24112697
PMCPMC7653523

What OpenQuestion holds

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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.