Evidence map›Paper›PMID 41518889›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2026

Erratum to "Establishing and characterizing the molecular profiles, cellular features, and clinical utility of a patient-derived xenograft model using benign prostatic tissues" (Lab Invest 2024 Oct;104(10):102129).

Alexandra Lapat Polasko, Dalin Zhang, Avanti Ramraj, Chun-Lung Chiu, Fernando J Garcia-Marques, Abel Bermudez, Kathryn Kapp, Eric Peterson, Zhengyuan Qiu, Anna S Pollack and 4 more

Abstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2026. 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

5 · Who and what money

Authors and funding

14 authors.

Alexandra Lapat PolaskoDepartment of Urology, Stanford University, Stanford, California.
Dalin ZhangDepartment of Urology, Stanford University, Stanford, California.
Avanti RamrajDepartment of Urology, Stanford University, Stanford, California.
Chun-Lung ChiuDepartment of Urology, Stanford University, Stanford, California.
Fernando J Garcia-MarquesDepartment of Radiology, Stanford University, Stanford, California; Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California.
Abel BermudezDepartment of Radiology, Stanford University, Stanford, California; Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California.
Kathryn KappDepartment of Radiology, Stanford University, Stanford, California; Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California.
Eric PetersonDepartment of Urology, Stanford University, Stanford, California.
Zhengyuan QiuDepartment of Urology, Stanford University, Stanford, California.
Anna S PollackDepartment of Pathology, Stanford University, Stanford, California.
Hongjuan ZhaoDepartment of Urology, Stanford University, Stanford, California.
Jonathan R PollackDepartment of Pathology, Stanford University, Stanford, California.
Sharon J PitteriDepartment of Radiology, Stanford University, Stanford, California; Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California.
James D BrooksDepartment of Urology, Stanford University, Stanford, California; Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California. Electronic address: jdbrooks@stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41518889

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.