Evidence map›Paper›PMID 36814440›Full record

ArticleJournal of pathology informatics2023

Predicting IHC staining classes of NF1 using features in the hematoxylin channel.

Wei Zhang, Mei Yee Koh, Deepika Sirohi, Jian Ying, Ben J Brintz, Beatrice S Knudsen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pathology informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Comparison of QuPath and HALO Platforms for Analysis of the Tumor Microenvironment in Prostate Cancer.Laboratory investigation; a journal of technical methods and pathology · 2025
    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

6 authors at 2 institutions in 1 country.

Wei ZhangHuntsman Cancer Institute BMP core, University of Utah, Salt Lake City, Utah 84108, USA.
Mei Yee KohDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah 84108, USA.
Deepika SirohiDepartment of Pathology, University of Utah, Salt Lake City, Utah 84108, USA.
Jian YingDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah 84108, USA.
Ben J BrintzDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah 84108, USA.
Beatrice S KnudsenHuntsman Cancer Institute BMP core, University of Utah, Salt Lake City, Utah 84108, USA.
University of Utah · USHuntsman Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunohistochemistry (IHC) highlights specific cell types in tissues and traditionally involves antibody staining together with a hematoxylin counterstain. The intensity and pattern of hematoxylin staining differs between cell types and reveals morphological characteristics of cells. Here, we propose that features in the hematoxylin stain can be used to predict IHC labels, such as Neurofibromin (encoded by the gene

Indexed as

CytoMapKidney cancerPredictionQuPath

Identifiers

PMID36814440
PMCPMC9939724
OpenAlexW4318015091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.