Evidence map›Paper›PMID 38886219›Full record

ReviewAbdominal radiology (New York)2024

Cross-sectional imaging of gastric cancer: pearls, pitfalls and lessons learned from multidisciplinary conference.

Stephen Kwak, Mark Duncan, Fabian M Johnston, Katherine Bever, Eumee Cha, Elliot K Fishman, Rakhee Gawande

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2024. 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. Review
  2. Article
  3. 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

7 authors.

Stephen KwakJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA. Skwak4@jhmi.edu.ORCID 0000-0001-9430-503X
Mark DuncanJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA.
Fabian M JohnstonJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA.
Katherine BeverJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA.
Eumee ChaJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA.
Elliot K FishmanJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA.
Rakhee GawandeJohns Hopkins University, 1800 Orleans St., Baltimore, MD, 21287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is rising in prevalence associated with high mortality, primarily due to late-stage detection, underscoring the imperative for early and precise diagnosis. Etiology involves an interplay of genetic susceptibilities and environmental factors with a prominent role of Helicobacter pylori infection. Due to its often-delayed symptom presentation, prompt and accurate diagnosis is necessary. A multimodal imaging approach, including endoscopic ultrasound (EUS), multi-detector computed tomography (MDCT), and magnetic resonance imaging (MRI) is critical for accurate staging. Each modality contributes unique advantages and limitations, highlighting the importance of integrating diagnostic strategy. Moreover, multidisciplinary conferences offer a vital collaborative platform, bringing together specialists from diverse fields for treatment planning. This synergistic approach not only enhances diagnostic precision but also improves patient outcome. This review highlights the critical role of imaging in diagnosis, staging, and management and advocates for interdisciplinary collaboration in early detection and comprehensive management of gastric cancer, aiming to reduce mortality.

Indexed as

Stomach NeoplasmsHumansMultimodal ImagingNeoplasm StagingComputed tomography (CT)Endoscopic ultrasoundGastric adenocarcinomaMultidisciplinary conferenceTNM staging

Identifiers

PMID38886219

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.