Evidence map›Paper›PMID 29362659›Full record

ArticleWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques2017

Use of the blue cotton screen method with endoscopy to detect occult esophageal foreign bodies.

Yan Xia, Fan Zhang, Hong Xu, Weiran Xu

Open access · goldAbstract readCase Reports
In one paragraph

Article in Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques, 2017. 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
–field-weighted citation impact, top 74% 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. [Application of esophageal CT to establish the evaluation model of foreign body position in rigid esophagoscopic surgery].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2021
    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

4 authors at 2 institutions in 1 country.

Yan XiaDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin, China.
Fan ZhangDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin, China.
Hong XuDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin, China.
Weiran XuDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin, China.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 20,000 cases of upper gastrointestinal foreign bodies (FBs) have been reported in the last 5 years in China. Early detection and treatment is vital in these patients. Differential diagnosis of esophageal injury and occult esophageal foreign bodies is challenging, particularly in the case of non-radio-opaque foreign bodies. A diagnostic technique with high accuracy and low risk is needed for clinical practice. We describe successful use of the "blue cotton screen method" to detect esophageal foreign bodies in 2 patients. The advantages and disadvantages of various diagnostic modalities in the management of patients with foreign body ingestion are presented. This technique is safer and more effective than traditional methods for foreign body impaction in the esophageal cavity. It could be applied for screening and in the differential diagnosis of esophageal injury and FBs in the esophageal lumen.

Indexed as

blue cotton screen methoddiagnosisendoscopeoccult esophageal foreign bodies

Identifiers

PMID29362659
PMCPMC5776492
OpenAlexW2779557892

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.