Evidence map›Paper›PMID 34357472›Full record

ReviewDer Pathologe2021

[Standardized diagnosis of pancreatic head carcinoma].

Anna Melissa Schlitter, Lena Häberle, Caroline Richter, Ralf Huss, Irene Esposito

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

5 authors at 4 institutions in 1 country.

Anna Melissa SchlitterInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Lena HäberleInstitut für Pathologie, Heinrich-Heine-Universität und Universitätsklinikum Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Deutschland.
Caroline RichterInstitut für Allgemeine Pathologie und Pathologische Anatomie, Technische Universität München, Trogerstr. 18, 81675, München, Deutschland.
Ralf HussInstitut für Pathologie und molekulare Diagnostik, Universitätsklinikum Augsburg, Stenglinstr. 2, 86156, Augsburg, Deutschland.
Irene EspositoInstitut für Pathologie, Heinrich-Heine-Universität und Universitätsklinikum Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Deutschland. Irene.esposito@med.uni-duesseldorf.de.
Technical University of Munich · DEDüsseldorf University Hospital · DEHeinrich Heine University Düsseldorf · DEUniversity Hospital Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most pancreatic ductal adenocarcinomas are localized in the pancreatic head. Due to the complex anatomic relationships with the surrounding organs and vascular structures in the retroperitoneal space and to the presence of numerous transection margins and dissection planes, pancreatic head resections belong to the most complex specimens concerning grossing and sampling for histopathologic analysis.Here we discuss current guidelines for standardized grossing and reporting of pancreatic cancer, with special reference to the assessment of the resection margin status. The importance of standardized reporting for the sake of completeness, comprehensibility, comparability, and quality control as well as for the integration of pathology reports in interdisciplinary digital workflows and artificial intelligence applications will be emphasized.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsArtificial IntelligenceHumansPancreatectomyPancreaticoduodenectomyArtificial intelligenceGrossing technologyMargins of excisionPancreatectomyPancreatic neoplasms

Identifiers

PMID34357472
OpenAlexW3192587330

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.