Evidence map›Paper›PMID 29693352›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2018

Effecst of Patho- Biological Factors on the Survival of Recurrent Breast Cancer Cases

Mohammad Esmaeil Akbari, Marzieh Rohani- Rasaf, Nahid Nafissi, Atieh Akbari, Leyla Shojaee

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Mohammad Esmaeil AkbariCancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email: shojaeeleyla@gmail.com
Marzieh Rohani- Rasaf
Nahid Nafissi
Atieh Akbari
Leyla Shojaee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recurrence of breast cancer after treatment is generally due to loco-regional invasion or distant metastasis. Although patients with metastasis are considered incurable, existing treatments might prolong a patient’s life while also improving its quality. Choice of approach for individual patients requires identification of relevant survival factors. This study concerns factors influencing survival after recurrence in Iranian breast cancer patients. Methods: This study was performed on 442 recurrent breast cancer patients referred to the Cancer Research Center of Shahid Beheshti University between 1985 and 2015. After confirming recurrence as a distant metastasis or loco-regional invasion, the effects of demographic, clinic-pathologic, biological, type of surgery and type of adjuvant treatment on survival were evaluated using univariate and multivariate stratified Cox models. Results: The mean survival after recurrence was 18 months (5 days to 13 years), 219 patients (70.42%) survived two years, 75 patients (24.12%) survived from 2 to 5 years, and 17 patients (5.47%) survived more than 5 years. In this study, it was found through univariate analysis that the factors of age, lymph node status, DFI, place of recurrence and nodal ratio demonstrated greatest influence on survival after recurrence. On multivariate analysis, the most important factors influencing survival were the place of recurrence and the lymph node status. Conclusion: The results of this study enhance our knowledge of effects of different factors on survival of patients after breast cancer recurrence. Thus, they may be used to inform treatment choice.

Indexed as

AdultBiological FactorsBreast NeoplasmsFemaleFollow-Up StudiesHumansIranNeoplasm InvasivenessNeoplasm Recurrence, LocalPrognosisSurvival RateBiological FactorsprognosisRecurrent breast cancersurvival

Identifiers

PMID29693352
PMCPMC6031793

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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.