Evidence map›Paper›PMID 35434098›Full record

Trial reportWorld journal of clinical cases2022

Determination of the ED

Yi Zou, Na Li, Liu-Jia-Zi Shao, Fu-Kun Liu, Fu-Shan Xue, Xing Tao

Open access · diamondAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Yi ZouDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Na LiDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Liu-Jia-Zi ShaoDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Fu-Kun LiuDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Fu-Shan XueDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Xing TaoDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China. taoxing43@sina.com.
Beijing Friendship Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedation during endoscopic ultrasonography (EUS) poses many challenges and moderate-to-deep sedation are often required. The conventional method to preform moderate-to-deep sedation is generally intravenous benzodiazepine alone or in combination with opioids. However, this combination has some limitations. Intranasal medication delivery may be an alternative to this sedation regimen.

aimTo determine, by continual reassessment method (CRM), the minimal effective dose of intranasal sufentanil (SUF) when combined with intranasal dexmedetomidine (DEX) for moderate sedation of EUS in at least 95% of patients (ED

methodsThirty patients aged 18-65 and scheduled for EUS were recruited in this study. Subjects received intranasal DEX and SUF for sedation. The dose of DEX (1 μg/kg) was fixed, while the dose of SUF was assigned sequentially to the subjects using CRM to determine ED

resultsThe ED

conclusionThe ED

Indexed as

Continual reassessment methodDexmedetomidineEndoscopic ultrasonographyIntranasal administrationModerate sedationSufentanil

Identifiers

PMID35434098
PMCPMC8968820
OpenAlexW4220962239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.