Evidence map›Paper›PMID 21811256›Full record

ArticleBritish journal of cancer2011

Modified primary tumour/vessel tumour/nodal tumour classification for patients with invasive ductal carcinoma of the breast.

T Hasebe, M Iwasaki, S Akashi-Tanaka, T Hojo, T Shibata, Y Sasajima, T Kinoshita, H Tsuda

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in British journal of cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 2 countries.

T HasebePathology Consultation Service, Clinical Trials and Practice Support Division, Center for Cancer Control and Information Services, National Cancer Center, 5-1-1, Tsukiji, Chuo-ku, Tokyo 104-0045, Japan. thasebe@ncc.go.jp
M Iwasaki
S Akashi-Tanaka
T Hojo
T Shibata
Y Sasajima
T Kinoshita
H Tsuda
National Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously reported that the primary tumour/vessel tumour/nodal tumour (PVN) classification is significantly superior to the UICC pTNM classification and the Nottingham Prognostic Index for accurately predicting the outcome of patients with invasive ductal carcinoma of the breast in a manner that is independent of the nodal status and the hormone receptor status.

methodsThe purpose of the present study was to compare the outcome predictive power of a modified PVN classification to that of the newly devised pathological UICC pTNM classification and the reclassified Nottingham Prognostic Index in a different group of patients with invasive ductal carcinoma (n=1042) using multivariate analyses by the Cox proportional hazard regression model.

resultsThe modified PVN classification clearly exhibited a superior significant power, compared with the other classifications, for the accurate prediction of tumour recurrence and tumour-related death among patients with invasive ductal carcinoma in a manner that was independent of the nodal status, the hormone receptor status, and adjuvant therapy status.

conclusionThe modified PVN classification is a useful classification system for predicting the outcome of invasive ductal carcinoma of the breast.

Indexed as

AdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm InvasivenessNeoplasm StagingNeoplasms, Vascular TissuePrognosisRecurrenceSurvival AnalysisYoung Adult

Identifiers

PMID21811256
PMCPMC3188933
OpenAlexW1995709183

What OpenQuestion holds

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LicenceCC BY
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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.