Evidence map›Paper›PMID 40144915›Full record

ArticleGHM open2021

Trends in prostate cancer diagnosis during the COVID-19 crisis: A report from one high-volume Japanese center.

Daisuke Yamada, Taketo Kawai, Yusuke Sato, Yuta Yamada, Yoshiyuki Akiyama, Jimpei Miyakawa, Sayuri Takahashi, Haruki Kume

Abstract read
In one paragraph

Article in GHM open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Daisuke YamadaDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taketo KawaiDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yusuke SatoDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yuta YamadaDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yoshiyuki AkiyamaDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Jimpei MiyakawaDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Sayuri TakahashiDepartment of Urology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Haruki KumeDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-isolation to prevent the spread of the novel coronavirus SARS-CoV-2 began in April 2020. As a result, the number of prostate needle biopsies taken at our hospital for suspicion of prostate cancer decreased by 30.5%, from 403 in 2019 to 280 in 2020. The number of diagnoses of prostate cancer decreased by 35.4% from 189 to 122. High-risk and intermediate-risk prostate cancers were 36.5% and 49.7%, respectively, in 2019. Assuming that this situation in our hospital reflects events nationwide, approximately 32,575 (high-risk; 11,890, intermediate risk; 16,189) patients annually would be suffering delays in diagnosis. Furthermore, > 90% of the decrease are curable cases in their 60s and 70s, with prostate specific antigen levels of 30 ng/mL or less, with stage T2, and N0M0. Widely aware that more than 30,000 prostate cancers might be overlooked nationwide in 2020, we recommend establishing a health checkup system with infection control and undergoing early testing.

Indexed as

agebiopsycoronavirusprostate-specific antigen (PSA)SARS-CoV-2stage

Identifiers

PMID40144915
PMCPMC11933931

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.