Evidence map›Paper›PMID 35155745›Full record

ArticleAcademic pathology

Digital Pathology Operations at an NYC Tertiary Cancer Center During the First 4 Months of COVID-19 Pandemic Response.

Orly Ardon, Victor E Reuter, Meera Hameed, Lorraine Corsale, Allyne Manzo, Sahussapont J Sirintrapun, Peter Ntiamoah, Evangelos Stamelos, Peter J Schueffler, Christine England and 2 more

Open access · goldAbstract read
In one paragraph

Article in Academic pathology. 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
2.0field-weighted citation impact, top 11% of its field
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, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Quality Management System in Clinical Digital Pathology Operations at a Tertiary Cancer Center.Laboratory investigation; a journal of technical methods and pathology · 2023
    Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

12 authors at 1 institution in 1 country.

Orly ArdonDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Victor E ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Meera HameedDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lorraine CorsaleDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Allyne ManzoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sahussapont J SirintrapunDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Peter NtiamoahDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Evangelos StamelosDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Peter J SchuefflerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0002-1353-8921
Christine EnglandDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
David S KlimstraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Matthew G HannaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0002-7536-1746
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Implementation of an infrastructure to support digital pathology began in 2006 at Memorial Sloan Kettering Cancer Center. The public health emergency and COVID-19 pandemic regulations in New York City required a novel workflow to sustain existing operations. While regulatory enforcement discretions offered faculty workspace flexibility, a substantial portion of laboratory and digital pathology workflows require on-site presence of staff. Maintaining social distancing and offering staggered work schedules. Due to a decrease in patients seeking health care at the onset of the pandemic, a temporary decrease in patient specimens was observed. Hospital and travel regulations impacted onsite vendor technical support. Digital glass slide scanning activities onsite proceeded without interruption throughout the pandemic, with challenges including staff who required quarantine due to virus exposure, unrelated illness, family support, or lack of public transportation. During the public health emergency, we validated digital pathology systems for a remote pathology operation. Since March 2020, the departmental digital pathology staff were able to maintain scanning volumes of over 100 000 slides per month. The digital scanning team reprioritized archival slide scanning and participated in a remote sign-out validation and successful submission of New York State approval for a laboratory developed test. Digital pathology offers a health care delivery model where pathologists can perform their sign out duties at remote location and prevent disruptions to critical pathology services for patients seeking care at our institution during emergencies. Development of standard operating procedures to support digital workflows will maintain turnaround times and enable clinical operations during emergency or otherwise unanticipated events.

Indexed as

clinicalCOVID-19digital pathologyimplementationoperationsremote signouttelepathology

Identifiers

PMID35155745
PMCPMC8819741
OpenAlexW3158431029

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.