Evidence map›Paper›PMID 37377682›Full record

ArticleEcancermedicalscience2023

Long-term outcomes and prognostic factors in elderly patients with breast cancer: single-institutional experience.

Tabassum Wadasadawala, Roshankumar Patil, Johnny Carlton, Shalini Verma, Namita Umesh, Pallavi Rane, Rajiv Sarin, Rima Pathak, Jyoti Bajpai, Nita Nair and 2 more

Open access · goldAbstract read
In one paragraph

Article in Ecancermedicalscience, 2023. 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
1.2field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  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

12 authors at 1 institution in 1 country.

Tabassum WadasadawalaDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Roshankumar PatilDepartment of Radiation Oncology, Cancer Centers of America, Nashik, Maharashtra 422011, India.
Johnny CarltonDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Shalini VermaDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha Cancer Hospital, Varanasi, Uttar Pradesh 221010, India.
Namita UmeshDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Pallavi RaneDepartment of Statistics, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Rajiv SarinDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Rima PathakDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Jyoti BajpaiDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Nita NairDepartment of Surgical Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Tanuja ShetDepartment of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Ramneet KaurDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Tata Memorial Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite advances in treatment, there is rising mortality in elderly patients with breast cancer. We aimed to conduct an audit of non-metastatic elderly breast cancer patients to understand the predictors of outcome. Methods: Data collection was done from electronic medical records. All time-to-event outcomes were analysed using Kaplan-Meier method and compared using log-rank test. Univariate and multi-variate analysis of known prognostic factors was also done. Any p-value ≤0.05 was considered statistically significant. Results: A total of 385 elderly (>70 years) breast cancer patients (range 70-95 years) were treated at our hospital from January 2013 to December 2016. The hormone receptor was positive in 284 (73.8%) patients; 69 (17.9%) patients had over-expression of HER2-neu, while 70 (18.2%) patients had triple-negative breast cancer. A large majority of women (N = 328, 85.9%) underwent mastectomy while only 54 (14.1%) had breast conservation surgery. Out of 134 patients who received chemotherapy, 111 patients received adjuvant, while the remaining 23 patients received neoadjuvant chemotherapy. Only 15 (21.7%) patients of the 69 HER2-neu receptor-positive patients received adjuvant trastuzumab. Adjuvant radiation was given to 194 (50.3%) women based on the type of surgery and disease stage. Adjuvant hormone therapy was planned using letrozole in 158 (55.6%) patients, while tamoxifen was prescribed in 126 (44.4%). At the median follow up of 71.7 months, the 5-year overall survival, relapse-free survival, locoregional relapse-free survival, distant disease-free survival, breast cancer-specific survival were 75.3%, 74.2%, 84.8%, 76.1% and 84.5%. Age, tumour size, presence of lymphovascular invasion (LVSI) and molecular subtype emerged as independent predictors of survival on multi-variate analysis. Conclusion: The audit highlights the underutilisation of breast-conserving therapy and systemic therapy in the elderly. Increasing age and tumour size, presence of LVSI and molecular subtype were found to be strong predictors of outcome. The findings from this study will help to improve the current gaps in the management of breast cancer among the elderly.

Indexed as

breast cancerelderly populationsurvival outcomes

Identifiers

PMID37377682
PMCPMC10292850
OpenAlexW4367675921

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.