Evidence map›Paper›PMID 31417923›Full record

ReviewWorld journal of clinical cases2019

Endoscopic ultrasound-guided fine-needle aspiration biopsy - Recent topics and technical tips.

Kazuya Matsumoto, Yohei Takeda, Takumi Onoyama, Soichiro Kawata, Hiroki Kurumi, Hiroki Koda, Taro Yamashita, Hajime Isomoto

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Usefulness of Practitioner-Led Pancreatic Cancer Screening.Diagnostics (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. 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

8 authors at 1 institution in 1 country.

Kazuya MatsumotoDivision of Internal Medicine, Irisawa Medical Clinic, Matsue 690-0025, Japan. matsumotokazuya@tottori-u.ac.jp.
Yohei TakedaDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Takumi OnoyamaDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Soichiro KawataDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Hiroki KurumiDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Hiroki KodaDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Taro YamashitaDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Hajime IsomotoDepartment of Multidisciplinary Internal Medicine, Tottori University, Yonago 683-8504, Japan.
Tottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoscopic ultrasound-guided fine-needle aspiration biopsy (EUS-FNA) is a useful procedure that enables reliable pathological diagnoses of pancreatobiliary diseases, subepithelial lesions, and swollen lymph nodes. In recent years, a pathological diagnosis based on EUS-FNA has made it possible to provide accurate treatment methods not only in these fields, but also in respiratory organs and otorhinolaryngology. This review discusses the latest topics pertaining to EUS-FNA as well as procedural tips.

Indexed as

CytologyEndoscopic ultrasound-guided fine-needle aspiration biopsyLymph nodesPancreatobiliary diseasesPathologySubepithelial lesions

Identifiers

PMID31417923
PMCPMC6692262
OpenAlexW2966476688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.