Evidence map›Paper›PMID 24124424›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2013

Detection of prognostic factors in metastatic breast cancer.

Mehdi Tazhibi, Mahsa Fayaz, Fariborz Mokarian

Open access · greenAbstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Effecst of Patho- Biological Factors on the Survival of Recurrent Breast Cancer CasesAsian Pacific journal of cancer prevention : APJCP · 2018
    Article
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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

3 authors at 1 institution in 1 country.

Mehdi TazhibiDepartment of Biostatistics and Epidemiology, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahsa Fayaz
Fariborz Mokarian
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to detect prognostic factors in recurrent breast cancer metastasis. MATERIALS AND

methodsThis retrospective cohort study employed data from 996 breast cancer patients of Isfahan Seyed-o-Shohada research center from 1998 to 2010. Stratified Cox proportional hazards model, marginal approach, was used to evaluate the prognostic value of estrogen receptor, progesterone receptor, tumor protein 53, human epidermal growth factor receptor type 2, diagnosis age, nodal ratio, tumor size, antigen Ki67, and cathepsin D. Survival curves were plotted using Kaplan-Meier method and log-rank test was carried out to compare survival in two categories of nodal ratio (≤0.25 vs. >0.25).

resultsIn simple Cox regression model, age (P = 0.037), nodal ratio (P < 0.0001), and Ki67 (P = 0.032) were associated with hazard of distant metastasis. Multiple analysis showed that patients with greater nodal ratio had significantly higher adjusted hazard of recurrent metastasis (Hazard ratio: 2.756, 95% Confidence interval: 1.017-7.467; P = 0.046). Tumor size was not an independent prognostic factor for recurrent metastasis. Comparing survival curves, there was significant difference between two categories of nodal ratio in the first (P < 0.0001), second (P < 0.0001) and third (P = 0.024) metastasis; survival was higher in-patients with nodal ratio <0.25.

conclusionOur findings indicate that tumor size was insignificant; this raises the question about conventional premise of being a major prognostic factor for distant metastasis. Furthermore, nodal ratio is suggested to clinicians as a prognostic variable in follow-up of breast cancer patients; patients with higher nodal ratio have greater hazard of distant metastasis.

Indexed as

Axillary nodal ratiobreast cancerdistant metastasismarginal approachprognostic factorstratified cox proportional hazards modeltumor size

Identifiers

PMID24124424
PMCPMC3793372
OpenAlexW2168283315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.