Evidence map›Paper›PMID 31028443›Full record

Observational studyEuropean radiology2019

Sigmoid volvulus: identifying patients requiring emergency surgery with the dark torsion knot sign.

Subin Heo, Hye Jin Kim, Bum Jin Oh, Soo Jin Kim, Bohyun Kim, Jimi Huh, Jei Hee Lee, Jai Keun Kim

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Multiplex attacks in sigmoid volvulus.Pakistan journal of medical sciences · 2024
    Article
  6. Comments on 'The split-wall sign'.Abdominal radiology (New York) · 2023
    Article
  7. Response to "comments on the split-wall sign".Abdominal radiology (New York) · 2023
    Article
  8. Article
  9. The Association of Coloproctology of Great Britain and Ireland consensus guidelines in emergency colorectal surgery.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 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

8 authors at 2 institutions in 1 country.

Subin HeoDepartment of Radiology, Ajou University School of Medicine, 206 Worldcup-ro, Yeongtong-gu, Suwon, 443-749, South Korea.
Hye Jin KimDepartment of Radiology, Ajou University School of Medicine, 206 Worldcup-ro, Yeongtong-gu, Suwon, 443-749, South Korea. hjkotter@gmail.com.ORCID http://orcid.org/0000-0002-0263-1581
Bum Jin OhEmergency Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Soo Jin KimOffice of Biostatistics, Institute of Medical Sciences, Ajou University School of Medicine, Kyunggido, Suwon, South Korea.
Bohyun KimDepartment of Radiology, Ajou University School of Medicine, 206 Worldcup-ro, Yeongtong-gu, Suwon, 443-749, South Korea.
Jimi HuhDepartment of Radiology, Ajou University School of Medicine, 206 Worldcup-ro, Yeongtong-gu, Suwon, 443-749, South Korea.
Jei Hee LeeDepartment of Radiology, Ajou University School of Medicine, 206 Worldcup-ro, Yeongtong-gu, Suwon, 443-749, South Korea.
Jai Keun KimDepartment of Radiology, Ajou University School of Medicine, 206 Worldcup-ro, Yeongtong-gu, Suwon, 443-749, South Korea.
Ajou University · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine which clinical or CT imaging factors can help accurately identify complicated sigmoid volvulus (SV), defined as irreversible bowel ischaemia or necrosis requiring emergent surgery in patients with SV.

methodsWe performed a retrospective study of 51 patients admitted consecutively to the emergency department for SV. All patients attempted endoscopic detorsion as the first treatment. Clinical and contrast-enhanced CT factors were analysed. A newly described dark torsion knot sign (sudden loss of mucosal enhancement in the volvulus torsion knot) was included as a CT factor. Patients were diagnosed with complicated versus simple SV based on either surgery or follow-up endoscopic findings. Univariate and multivariate analyses were used to identify predictors of complicated SV.

resultsOf 51 study patients, 9 patients (17.6%) had complicated SV. Univariate analysis revealed that three clinical factors (sepsis, elevated C-reactive protein, and elevated lactic acid levels) and four CT factors (reduced bowel wall enhancement, increased bowel wall thickness, dark torsion knot sign, and diffuse omental infiltration) were significantly associated with complicated SV. Multivariate analysis identified only dark torsion knot sign (odds ratio = 104.40; p = 0.002) and sepsis (odds ratio = 16.85; p = 0.043) as independent predictive factors of complicated SV.

conclusionA newly defined CT imaging factor of dark torsion knot sign and a clinical factor of sepsis can predict complicated SV necessitating emergent surgery instead of colonoscopic detorsion as a primary treatment of choice. KEY POINTS: • A newly defined CT imaging factor of dark torsion knot sign and a clinical factor of sepsis can be helpful for predicting complicated SV necessitating emergent surgery instead of endoscopic detorsion.

Indexed as

Digestive System Surgical ProceduresEmergenciesAdultAgedAged, 80 and overColonoscopyColon, SigmoidFemaleHumansIntestinal VolvulusIschemiaMaleMiddle AgedPredictive Value of TestsRetrospective StudiesYoung AdultEmergency treatmentIntestinal volvulusMultidetector-row computed tomographySepsisSigmoid colon

Identifiers

PMID31028443
OpenAlexW2942315514

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.