Evidence map›Paper›PMID 35438188›Full record

ReviewThe Journal of pathology2022

Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology.

Cjh Kramer, Mpg Vreeswijk, B Thijssen, T Bosse, J Wesseling

Abstract readReview
In one paragraph

Review in The Journal of pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

5 authors.

Cjh KramerDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7399-6804
Mpg VreeswijkDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-4068-9271
B ThijssenDivision of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0003-1562-2649
T BosseDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-6881-8437
J WesselingDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-8940-2676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease ('what happened') to a prospective outlook ('what will happen'). Examination of a static, two-dimensional hematoxylin and eosin (H&E)-stained tissue slide has traditionally been the pathologist's primary task, but novel ancillary techniques enabled by technological breakthroughs have supported pathologists in their increasing ability to predict disease status and behaviour. Nevertheless, the informational limits of 2D, fixed tissue are now being reached and technological innovation is urgently needed to ensure that our understanding of disease entities continues to support improved individualized treatment options. Here we review pioneering work currently underway in the field of cancer pathology that has the potential to capture information beyond the current basic snapshot. A selection of exciting new technologies is discussed that promise to facilitate integration of the functional and multidimensional (space and time) information needed to optimize the prognostic and predictive value of cancer pathology. Learning how to analyse, interpret, and apply the wealth of data acquired by these new approaches will challenge the knowledge and skills of the pathology community. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

NeoplasmsHumansPathologistsPrognosisProspective StudiesUnited Kingdom3D reconstructionbiomarkerscancerdimensionsfunctional pathologypathologypredictionprognosis

Identifiers

PMID35438188
PMCPMC9324156

What OpenQuestion holds

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LicenceCC BY-NC
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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.