Evidence map›Paper›PMID 34259217›Full record

ReviewEndoscopic ultrasound

Wet-

Daryl Ramai, Jameel Singh, Tarik Kani, Mohamed Barakat, Saurabh Chandan, Olivia W Brooks, Andrew Ofosu, Shahab R Khan, Banreet Dhindsa, Amaninder Dhaliwal and 5 more

Abstract readReview
In one paragraph

Review in Endoscopic ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Advances in Endoscopic Ultrasound (EUS)-Guided Liver Biopsy.Diagnostics (Basel, Switzerland) · 2023
    Review
  11. Review
  12. Article
  13. 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

15 authors.

Daryl RamaiDepartment of Internal Medicine, The Brooklyn Hospital Center, Brooklyn, New York, USA.
Jameel SinghDepartment of Internal Medicine, Mather Hospital, Port Jefferson, New York, USA.
Tarik KaniLangone Health, Inflammatory Bowel Disease Center, New York University, New York, USA; Department of Gastroenterology, School of Medicine, Marmara University, Istanbul, Turkey.
Mohamed BarakatDivision of Gastroenterology, The Brooklyn Hospital Center, Brooklyn, New York, USA.
Saurabh ChandanDivision of Gastroenterology and Hepatology, CHI Health Creighton University Medical Center, Omaha, Nebraska, USA.
Olivia W BrooksDepartment of Internal Medicine, The Brooklyn Hospital Center, Brooklyn, New York, USA.
Andrew OfosuDivision of Gastroenterology, Stanford University, Stanford, California, USA.
Shahab R KhanDivision of Gastroenterology, Rush University Medical Center, Chicago, Illinois, USA.
Banreet DhindsaGastroenterology and Hepatology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Amaninder DhaliwalDivision of Gastroenterology, Moffitt Cancer Center, University of South Florida, Tampa, Florida, USA.
Eduardo J QuinteroDivision of Gastroenterology, The Brooklyn Hospital Center, Brooklyn, New York, USA.
Derrick CheungDivision of Gastroenterology, The Brooklyn Hospital Center, Brooklyn, New York, USA.
Antonio FacciorussoDepartment of Medical Sciences, Section of Gastroenterology, University of Foggia, 71122 Foggia, Italy.
Stephanie McDonoughCenter for Advanced Therapeutic Endoscopy (CATE), Centura Health, Porter Hospital, Peak Gastroenterology, Denver, Colorado, USA.
Douglas G AdlerCenter for Advanced Therapeutic Endoscopy (CATE), Centura Health, Porter Hospital, Peak Gastroenterology, Denver, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal sampling techniques for EUS-FNA remain unclear and have not been standardized. To improve diagnostic accuracy, suction techniques for EUS-FNA have been developed and are widely used among endoscopists. The aim of this study was to compare wet-suction and dry-suction EUS-FNA techniques for sampling solid lesions. We performed a comprehensive literature search of major databases (from inception to June 2020) to identify prospective studies comparing wet-suction EUS-FNA and dry-suction EUS-FNA. Specimen adequacy, sample contamination, and histologic accuracy were assessed by pooling data using a random-effects model expressed in terms of odds ratio (OR) and 95% confidence interval (CI). Six studies including a total of 418 patients (365 wet suction vs. 377 dry suction) were included in our final analysis. The study included a total of 535 lesions (332 pancreatic lesions and 203 nonpancreatic lesions). The pooled odds of sample adequacy was 3.18 (CI: 1.82-5.54, P = 0.001) comparing wet- and dry-suction cohorts. The pooled odds of blood contamination was 1.18 (CI: 0.75-1.86, P = 0.1). The pooled rate for blood contamination was 58.33% (CI: 53.65%-62.90%) in the wet-suction cohort and 54.60% (CI 49.90%- 59.24%) in the dry-suction cohort (P = 0.256). The pooled odds of histological diagnosis was 3.68 (CI 0.82-16.42, P = 0.1). Very few adverse events were observed and did not have an impact on patient outcomes using either method. EUS-FNA using the wet-suction technique offers higher specimen quality through comparable rates of blood contamination and histological accuracy compared to dry-suction EUS-FNA.

Indexed as

dry suctionEUSFNAsolid lesionswet suction

Identifiers

PMID34259217
PMCPMC8544017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.