Evidence map›Paper›PMID 12013528›Full record

ReviewJournal of mammary gland biology and neoplasia2001

Prognostic factors in breast cancer: current and new predictors of metastasis.

D F Hayes, C Isaacs, V Stearns

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 30 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 30 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

91 citing papers in PubMed, 30 syntheses or guidelines pooled it.

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  5. Prognostic Significance of P16BioMed research international · 2018
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  16. Prognostic role of microRNA-31 in various cancers: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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  18. Low expression of let-7 predicts poor prognosis in patients with multiple cancers: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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31 more citing papers are in PubMed but not listed here.

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

3 authors.

D F HayesBreast Oncology Program, University of Michigan Comprehensive Cancer Center, Ann Arbor 48109-0942, USA. hayesdf@umich.edu
C Isaacs
V Stearns

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decisions regarding the use of adjuvant therapy for breast cancer are strongly influenced by the risk of disease recurrence and death. These risks are now determined by examining the currently recognized breast cancer prognostic factors, including clinical stage, axillary nodal status, tumor size and grade, hormone receptor status, and presence of lymphovascular involvement. Newer factors are being evaluated in an attempt to more precisely define disease-related prognosis. This paper provides an overview of issues that need to be considered when analyzing studies of prognostic factors as well as a review of the currently recognized and the newer candidate prognostic factors.

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleHumansNeoplasm MetastasisPrognosisBiomarkers, Tumor

Identifiers

PMID12013528

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.