Evidence map›Paper›PMID 23758085›Full record

ArticleCancer science2013

Histological factors for accurately predicting first locoregional recurrence of invasive ductal carcinoma of the breast.

Takahiro Hasebe, Motoki Iwasaki, Takashi Hojo, Tatsuhiro Shibata, Takayuki Kinoshita, Hitoshi Tsuda

Open access · greenAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Takahiro HasebeDiagnostic Pathology Section, Medical Support and Partnership Division, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan. thasebe@east.ncc.go.jp
Motoki Iwasaki
Takashi Hojo
Tatsuhiro Shibata
Takayuki Kinoshita
Hitoshi Tsuda
Tokyo National Hospital · JPNational Cancer Center Hospital East · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate assessment of the risk of first locoregional recurrence is very important for improving the survival of patients with invasive ductal carcinoma of the breast. The present study investigated which histological factors (both well-known histological factors and factors that we have proposed) were the most capable of accurately predicting first locoregional recurrence among 1042 patients with invasive ductal carcinoma and various tumor statuses (overall, nodal status, Union Internationale Contre le Cancer pathological TNM stage, adjuvant therapy status, and adjuvant radiotherapy status) using multivariate analyses by the Cox proportional hazard regression model. The present study clearly demonstrated that the best factor for accurately predicting locoregional recurrence was grade 3 lymph vessel tumor embolus (>4 mitotic figures and >6 apoptotic figures in tumor embolus), followed by type 2 invasive ductal carcinoma (negative for fibrotic foci but positive for atypical tumor-stromal fibroblast), grade 2 lymph vessel tumor embolus (1-4 mitotic figures and >0 apoptotic figures in tumor embolus; >0 mitotic figures and 1-6 apoptotic figures in tumor embolus), primary invasive tumor cell-related factors (>19 mitotic figures, presence of tumor necrosis, presence of skin invasion) and >5 mitotic figures in metastatic carcinomas to the lymph node. Our proposed factors were superior to well-known histological factors of primary invasive tumors or clinicopathological factors for the accurate prediction of first locoregional recurrence in patients with invasive ductal carcinoma of the breast.

Indexed as

AdultAgedBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansLymphatic MetastasisLymph NodesMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalPredictive Value of TestsProportional Hazards ModelsYoung Adult

Identifiers

PMID23758085
PMCPMC7657142
OpenAlexW2080886608

What OpenQuestion holds

Textmetadata
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.