Evidence map›Paper›PMID 33568751›Full record

ArticleProstate cancer and prostatic diseases2021

Patient- and tumor-level risk factors for MRI-invisible prostate cancer.

Paige K Kuhlmann, Michelle Chen, Michael Luu, Aurash Naser-Tavakolian, Devin N Patel, Hyung L Kim, Rola Saouaf, Timothy J Daskivich

Abstract read
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In one paragraph

Article in Prostate cancer and prostatic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  11. Landmarks in the evolution of prostate biopsy.Nature reviews. Urology · 2023
    Review
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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.

Paige K KuhlmannDepartment of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Paige.Kuhlmann@cshs.org.ORCID http://orcid.org/0000-0001-9547-6797
Michelle ChenUniversity of California San Diego School of Medicine, San Diego, CA, USA.ORCID http://orcid.org/0000-0003-2538-6790
Michael LuuSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Aurash Naser-TavakolianDepartment of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Devin N PatelDepartment of Urology, University of California San Diego, San Diego, CA, USA.
Hyung L KimDepartment of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Rola SaouafDepartment of Radiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Timothy J DaskivichDepartment of Surgery, Division of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-7540-3272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiparametric MRI is highly sensitive for detection of clinically significant prostate cancer, but has a 10-20% false negative rate. It is unknown if there are clinical factors that predict MRI invisibility. We sought to identify predictors of MRI-invisible (MRI(-)) disease.

methodsMen undergoing MRI/US-fusion targeted + systematic biopsy by two surgeons at our institution from 2015 to 2018 were reviewed. Patient demographics, clinical data, MRI metrics, and biopsy pathology results were obtained by chart review. An MRI(-) tumor was defined as a positive systematic biopsy in a zone without an MRI lesion. Factors associated with presence of MRI(-) tumors were identified using stepwise multivariable logistic regression.

resultsOf 194 men included in the analysis, 79 (41%) and 25 (13%) men had GG1+ and GG2+ MRI(-) tumors, respectively. On multivariable analysis, only Black race was associated with presence of GG1+ MRI(-) tumors (OR 2.2, 95% CI 1.02-4.96). Black race (OR 3.5, 95% CI 1.24-9.87) and higher PSA density (OR 2.0, 95% CI 1.34-3.20) were associated with presence of GG2+ MRI(-) tumors. In non-Black and Black men, detection of MRI(-) tumors on systematic biopsy upgraded patients from no disease to GG2+ disease 1% and 11% of the time, respectively, and from GG1 to GG2+ disease 42% and 60% of the time, respectively.

conclusionsBlack race and PSA density were associated with presence of MRI(-) prostate cancer. Further study on racial differences is warranted based on these results. Surgeons should consider pre-biopsy risk factors before deciding to omit systematic prostate biopsy regardless of mpMRI results.

Indexed as

AgedBiopsyFollow-Up StudiesHumansMagnetic Resonance ImagingMalePrognosisProstatic NeoplasmsRetrospective StudiesRisk FactorsUltrasonography

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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.