Evidence map›Paper›PMID 35528628›Full record

ArticleBreast care (Basel, Switzerland)2022

What Has Changed in Patients Aged 65 and over Diagnosed with Breast Cancer during the COVID-19 Pandemic: A Single-Center Experience.

Aykut Soyder, Nilgün Güldoğan, Aysun Isıklar, Erkin Arıbal, Gül Başaran

Open access · bronzeAbstract read
In one paragraph

Article in Breast care (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. 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 at 3 institutions in 1 country.

Aykut SoyderDepartment of General Surgery, Acıbadem Altunizade Hospital, Breast Clınıc, İstanbul, Turkey.
Nilgün GüldoğanDepartment of Radiology, Acıbadem Altunizade Hospital, Breast Clınıc, İstanbul, Turkey.
Aysun IsıklarAcıbadem Altunizade Hospital, Breast Clınıc, İstanbul, Turkey.
Erkin ArıbalDepartment of Radiology, Mehmet Ali Aydınlar University Faculty of Medicine, İstanbul, Turkey.
Gül BaşaranDepartment of Oncology, Mehmet Ali Aydınlar University Faculty of Medicine, İstanbul, Turkey.
Acıbadem University · TRKent Hastanesi · TRAcıbadem Adana Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic has a worldwide negative impact on healthcare systems. This study aims to determine how the diagnosis, clinicopathological features, and treatment approaches of patients with breast cancer (BC) diagnosed at ≥65 years old were affected during the pandemic. This survey has shown that patients, especially the elderly, had to postpone their BC health problems or delay their routine controls due to the risk of COVID-19 transmission, high mortality rates due to comorbidity, and restrictions. Materials and Methods: The medical records of 153 patients with BC diagnosed at ≥65 years old before (January-December 2019; group A, Results: Patients mostly applied for screening purposes were included in group A and patients who frequently applied for diagnostic purposes due to their existing BC or other complaints were included in group B ( Conclusion: The survey showed significant changes in BC diagnosis and treatment protocols for patients diagnosed at ≥65 years old during the COVID-19 pandemic. Postponing screening and delaying treatment leads to more advanced BC stages in elderly patients.

Indexed as

Breast cancerCorona virus disease 19ElderlyPandemicTreatment

Identifiers

PMID35528628
PMCPMC9059016
OpenAlexW4212941743

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.