Evidence map›Paper›PMID 32551815›Full record

ArticleArchives of pathology & laboratory medicine2020

Rapid Validation of Telepathology by an Academic Neuropathology Practice During the COVID-19 Pandemic.

Jonathan Henriksen, Teresa Kolognizak, Tracy Houghton, Steve Cherne, Daisy Zhen, Patrick J Cimino, Caitlin S Latimer, Kathryn P Scherpelz, Rebecca A Yoda, Charles E Alpers and 3 more

Abstract readValidation Study
In one paragraph

Article in Archives of pathology & laboratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. The Critical Value of Telepathology in the COVID-19 Era.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Review
  3. Review
  4. Review
  5. Measuring Digital Pathology Throughput and Tissue Dropouts.Journal of pathology informatics · 2022
    Article
  6. Article
  7. Neurooncology: 2021 update.Free neuropathology · 2021
    Article
  8. 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

13 authors.

Jonathan HenriksenFrom the Department of Pathology, University of Washington, Seattle.
Teresa KolognizakFrom the Department of Pathology, University of Washington, Seattle.
Tracy HoughtonFrom the Department of Pathology, University of Washington, Seattle.
Steve CherneFrom the Department of Pathology, University of Washington, Seattle.
Daisy ZhenFrom the Department of Pathology, University of Washington, Seattle.
Patrick J CiminoFrom the Department of Pathology, University of Washington, Seattle.
Caitlin S LatimerFrom the Department of Pathology, University of Washington, Seattle.
Kathryn P ScherpelzFrom the Department of Pathology, University of Washington, Seattle.
Rebecca A YodaFrom the Department of Pathology, University of Washington, Seattle.
Charles E AlpersFrom the Department of Pathology, University of Washington, Seattle.
David F ChhiengFrom the Department of Pathology, University of Washington, Seattle.
C Dirk KeeneFrom the Department of Pathology, University of Washington, Seattle.
Luis F Gonzalez-CuyarFrom the Department of Pathology, University of Washington, Seattle.

Funding

THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI JAYADEY, SUMAN · 1985 to 2019
$57.2M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI SUMAN JAYADEV · 2020 to 2026
$29.0M
NIA NIH HHS P30 AG066509NIA NIH HHS P50 AG005136
6 · The paper itself

Abstract

CONTEXT.—: The coronavirus disease 19 (COVID-19) pandemic is placing unparalleled burdens on regional and institutional resources in medical facilities across the globe. This disruption is causing unprecedented downstream effects to traditionally established channels of patient care delivery, including those of essential anatomic pathology services. With Washington state being the initial North American COVID-19 epicenter, the University of Washington in Seattle has been at the forefront of conceptualizing and implementing innovative solutions in order to provide uninterrupted quality patient care amidst this growing crisis. OBJECTIVE.—: To conduct a rapid validation study assessing our ability to reliably provide diagnostic neuropathology services via a whole slide imaging (WSI) platform as part of our departmental COVID-19 planning response. DESIGN.—: This retrospective study assessed diagnostic concordance of neuropathologic diagnoses rendered via WSI as compared to those originally established via traditional histopathology in a cohort of 30 cases encompassing a broad range of neurosurgical and neuromuscular entities. This study included the digitalization of 93 slide preparations, which were independently examined by groups of board-certified neuropathologists and neuropathology fellows. RESULTS.—: There were no major or minor diagnostic discrepancies identified in either the attending neuropathologist or neuropathology trainee groups for either the neurosurgical or neuromuscular case cohorts. CONCLUSIONS.—: Our study demonstrates that accuracy of neuropathologic diagnoses and interpretation of ancillary preparations via WSI are not inferior to those generated via traditional microscopy. This study provides a framework for rapid subspecialty validation and deployment of WSI for diagnostic purposes during a pandemic event.

Indexed as

Academic Medical CentersBetacoronavirusCoronavirus InfectionsCOVID-19Global HealthHumansImage Interpretation, Computer-AssistedMicroscopyNeuropathologyPandemicsPathology, ClinicalPneumonia, ViralReproducibility of ResultsRetrospective StudiesSARS-CoV-2Sensitivity and Specificity

Identifiers

PMID32551815
PMCPMC10777891

What OpenQuestion holds

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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.