Evidence map›Paper›PMID 27011546›Full record

ArticleThe Indian journal of surgery2015

Diagnostic Value of Plain and Contrast Radiography, and Multi-slice Computed Tomography in Diagnosing Intestinal Obstruction in Different Locations.

Liu Jun, Sun ChangYi

Open access · bronzeAbstract read
In one paragraph

Article in The Indian journal of surgery, 2015. 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
2.1field-weighted citation impact, top 14% 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, 13 citations in OpenAlex.

  1. Review
  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

2 authors at 1 institution in 1 country.

Liu JunDepartment of Emergency Medicine, Xuanwu Hospital, Capital University of Medicine Sciences, Beijing, 100053 China.
Sun ChangYiDepartment of Emergency Medicine, Xuanwu Hospital, Capital University of Medicine Sciences, Beijing, 100053 China.
Capital University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early intestinal obstruction is easily misdiagnosed. Many physicians consider terminal bouton if computed tomography (CT) scan is done. However, different examinations provide diverse information and significance. This retrospective, randomized, clinical study investigated the diagnostic value of three imaging modalities for intestinal obstruction, supine and upright (or decubitus) plain abdominal radiography, contrast radiography using Gastrografin, and 64 multi-slice spiral CT (MSCT). A total 142 patients with intestinal obstruction were examined. The diagnostic accuracy of plain radiography, contrast radiography, and MSCT for detecting small bowel obstruction was 62.5, 85, and 77.5 %, for localizing the obstruction was 0, 90, and 78.75 %, and for determining the cause of obstruction was 0, 71, and 65 %, respectively. The diagnostic accuracy for detecting large bowel obstruction was 53.23, 73.17, and 92 %, and for localizing the obstruction was 38.17, 60.98, and 98 %, respectively. The diagnostic accuracy of MSCT in determining the cause of obstruction was 91 %. None of the patients administered Gastrografin experienced any adverse effects. In conclusion, MSCT has great diagnostic value in identifying the site and cause of intestinal obstruction, especially in cases of large bowel obstruction. Contrast radiography using Gastrografin was effective in diagnosing and treating small bowel obstruction, making it a beneficial adjunct to MSCT.

Indexed as

Computed tomographyDiagnosisGastrografinLarge intestine obstructionRadiographySmall intestine obstruction

Identifiers

PMID27011546
PMCPMC4775675
OpenAlexW2085548815

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.