Evidence map›Paper›PMID 29467378›Full record

ArticleScientific reports2018

InForm software: a semi-automated research tool to identify presumptive human hepatic progenitor cells, and other histological features of pathological significance.

Anne S Kramer, Bruce Latham, Luke A Diepeveen, Lingjun Mou, Geoffrey J Laurent, Caryn Elsegood, Laura Ochoa-Callejero, George C Yeoh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
1.5field-weighted citation impact, top 19% 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, 23 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Anne S KramerHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, WA, Australia.
Bruce LathamPathWest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, WA, Australia.
Luke A DiepeveenHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, WA, Australia.
Lingjun MouWA Liver & Kidney Surgical Transplant Service, Sir Charles Gairdner Hospital, Nedlands, Australia.
Geoffrey J LaurentCentre for Cell Therapy and Regenerative Medicine, School of Biomedical Sciences, The University of Western Australia, Crawley, WA, Australia.
Caryn ElsegoodSchool of Pharmacy and Biomedical Science, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia.ORCID 0000-0002-8752-037X
Laura Ochoa-CallejeroAngiogenesis group, Oncology Area, Centre for Biomedical Research of La Rioja, Logroño, Spain.
George C YeohHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, WA, Australia. George.yeoh@uwa.edu.au.ORCID 0000-0002-4740-4702
The University of Western Australia · AUCenter for Biomedical Research of La Rioja · ESCurtin University · AUFiona Stanley Hospital · AUSir Charles Gairdner Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic progenitor cells (HPCs) play an important regenerative role in acute and chronic liver pathologies. Liver disease research often necessitates the grading of disease severity, and pathologists' reports are the current gold-standard for assessment. However, it is often impractical to recruit pathologists in large cohort studies. In this study we utilise PerkinElmer's "InForm" software package to semi-automate the scoring of patient liver biopsies, and compare outputs to a pathologist's assessment. We examined a cohort of eleven acute hepatitis samples and three non-alcoholic fatty liver disease (NAFLD) samples, stained with HPC markers (GCTM-5 and Pan Cytokeratin), an inflammatory marker (CD45), Sirius Red to detect collagen and haematoxylin/eosin for general histology. InForm was configured to identify presumptive HPCs, CD45

Indexed as

SoftwareBiomarkersCohort StudiesCollagenHepatitisHumansKeratinsLeukocyte Common AntigensLiverNon-alcoholic Fatty Liver DiseaseStem CellsBiomarkersCollagenKeratinsLeukocyte Common Antigens

Identifiers

PMID29467378
PMCPMC5821869
OpenAlexW2790518464

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.