Evidence map›Paper›PMID 35234978›Full record

ReviewDer Internist2022

[Diagnostics and clinical management of premalignant diseases of the pancreas].

S M Buchholz, C Ammer-Herrmenau, V Ellenrieder, A Neesse

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

S M BuchholzKlinik für Gastroenterologie, gastrointestinale Onkologie und Endokrinologe, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.
C Ammer-HerrmenauKlinik für Gastroenterologie, gastrointestinale Onkologie und Endokrinologe, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.
V EllenriederKlinik für Gastroenterologie, gastrointestinale Onkologie und Endokrinologe, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.
A NeesseKlinik für Gastroenterologie, gastrointestinale Onkologie und Endokrinologe, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland. albrecht.neesse@med.uni-goettingen.de.
Universitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is one of the most aggressive solid tumors and still has a poor prognosis. A delayed diagnosis at advanced stages and a poor response to systemic treatment frequently make a curative treatment impossible. Therefore, the identification of high-risk patients and screening them regularly is the most promising approach to improve the prognosis. Chronic pancreatitis as well as neoplastic pancreatic cysts can greatly increase the risk of developing pancreatic cancer. Furthermore, familial syndromes and germline mutations also confer an increased risk for development of pancreatic cancer. This article provides an overview of the various premalignant diseases of the pancreas. The value of the various imaging modalities, such as magnetic resonance imaging and endosonography are particularly discussed as well as the screening interval and the indications for surgical treatment are explained.

Indexed as

Pancreatic CystPancreatic NeoplasmsPancreatitis, ChronicEndosonographyHumansPancreasChronic pancreatitisDiabetes mellitusJaundiceMagnetic resonance cholangiopancreatographyPancreatic ductal carcinoma

Identifiers

PMID35234978
OpenAlexW4214925107

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.