Evidence map›Paper›PMID 35187223›Full record

ArticleJournal of patient experience2022

Impact of the COVID-19 Pandemic on Cancer Care and Quality of Life for Patients With Breast and Gynecologic Malignancies: A Single-Center Survey-Based Study.

Natalie F Berger, Brittney S Zimmerman, Danielle Seidman, Krystal P Cascetta, Erin Moshier, Michelle Nezolosky, Kara Trlica, Alisa Ryncarz, Caitlin Keeton, Amy Tiersten

Abstract read
In one paragraph

Article in Journal of patient experience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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  9. Review
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

10 authors.

Natalie F BergerIcahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID https://orcid.org/0000-0001-6922-6866
Brittney S ZimmermanHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Danielle SeidmanHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Krystal P CascettaHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Erin MoshierDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Michelle NezoloskyHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Kara TrlicaHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Alisa RyncarzHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Caitlin KeetonHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Amy TierstenHematology/Oncology Department, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the mental health and cancer treatment-related impact of the first wave of the COVID-19 pandemic on patients with breast and gynecologic cancers. An 18-question survey was administered in June 2020 at a New York City-based cancer center to assess the quality of life (QOL) and overall health (OH) during both the pandemic time period from March 1, 2020, through June 30, 2020, and the pre-pandemic period (prior to March 1, 2020). Survey questions were answered on a 5-point Likert scale and a 7-point EORTC

Indexed as

breast cancerCOVID-19quality of lifeTelehealth

Identifiers

PMID35187223
PMCPMC8850998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.