Evidence map›Paper›PMID 36333365›Full record

ArticleScientific reports2022

Automated whole slide image analysis for a translational quantification of liver fibrosis.

Cindy Serdjebi, Karine Bertotti, Pinzhu Huang, Guangyan Wei, Disha Skelton-Badlani, Isabelle A Leclercq, Damien Barbes, Bastien Lepoivre, Yury V Popov, Yvon Julé

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-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

12 citing papers in PubMed, 15 citations in OpenAlex.

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  12. Phosphotungstic Acid-treated Picrosirius Red Staining Improves Whole-slide Quantitative Analysis of Collagen in Histological Specimens.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2023
    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

10 authors at 2 institutions in 3 countries.

Cindy SerdjebiBiocellvia, 10 Rue Grignan, 13001, Marseille, France. cindy.serdjebi@biocellvia.com.
Karine BertottiBiocellvia, 10 Rue Grignan, 13001, Marseille, France.
Pinzhu HuangDivision of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
Guangyan WeiDivision of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
Disha Skelton-BadlaniDivision of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
Isabelle A LeclercqLaboratory of Hepato-Gastroenterology, Institut de Recherche Expérimentale Et Clinique, Université Catholique de Louvain (UCLouvain), Avenue Emmanuel Mounier 52, 1200, Brussels, Belgium.
Damien BarbesBiocellvia, 10 Rue Grignan, 13001, Marseille, France.
Bastien LepoivreBiocellvia, 10 Rue Grignan, 13001, Marseille, France.
Yury V PopovDivision of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
Yvon JuléBiocellvia, 10 Rue Grignan, 13001, Marseille, France.
Beth Israel Deaconess Medical Center · USUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current literature highlights the need for precise histological quantitative assessment of fibrosis which cannot be achieved by conventional scoring systems, inherent to their discontinuous values and reader-dependent variability. Here we used an automated image analysis software to measure fibrosis deposition in two relevant preclinical models of liver fibrosis, and established correlation with other quantitative fibrosis descriptors. Longitudinal quantification of liver fibrosis was carried out during progression of post-necrotic (CCl

Indexed as

LiverLiver CirrhosisAcetamidesAnimalsCollagenFibrosisHydroxyprolineMiceAcetamidesCDAACollagenHydroxyproline

Identifiers

PMID36333365
PMCPMC9636208
OpenAlexW4308343267

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.