Evidence map›Paper›PMID 37936730›Full record

ArticlePakistan journal of medical sciences

Spontaneous decompression of sigmoid volvulus.

Nurhak Aksungur, Rifat Peksoz, Esra Disci, Sabri Selcuk Atamanalp

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Nurhak AksungurNurhak Aksungur, MD Assistant Professor, Department of General Surgery, Faculty of Medicine, Ataturk University, Erzurum, Turkey.
Rifat PeksozRifat Peksoz, MD Assistant Professor, Department of General Surgery, Faculty of Medicine, Ataturk University, Erzurum, Turkey.
Esra DisciEsra Disci, MD Associate Professor, Department of General Surgery, Faculty of Medicine, Ataturk University, Erzurum, Turkey.
Sabri Selcuk AtamanalpSabri Selcuk Atamanalp, MD Professor, Department of General Surgery, Faculty of Medicine, Ataturk University, Erzurum, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Spontaneous decompression is an uncommon outcome of sigmoid volvulus (SV). The aim of this study was to evaluate the clinical presentation, diagnosis, treatment, and follow-up of spontaneously decompressed SV. Methods: We utilized the data of our 1,063 SV patients, the most comprehensive monocenter SV series in the world. To obtain the worldwide data on the spontaneous decompression of SV, we researched the last 56-years' literature in Web of Science and PubMed databases. Results: The incidence of the spontaneous decompression was 0.1% (1/1,063) in our SV series, whereas it was 1.5% (8/549) in the worldwide data (Fisher exact test, p = 0.001). By this way, cumulative spontaneous decompression rate was found as 0.6% (9/1,602). In the spontaneously decompressed cases, the main clinical features were abdominal pain/tenderness, distention, and obstipation, which were similar to management-required patients. However, the treatment and follow-up algorithm is still a relatively undefined subject. Conclusion: Spontaneous decompression of SV is a very rare clinical entity. The clinical presentation and diagnosis of the spontaneously decompressed SV look alike the management-required SV. However, as seen in most management-required patients, SV tends to recur in the spontaneously decompressed cases and a recurrence-reducing procedure is required in selected patients.

Indexed as

DecompressionSigmoid volvulusSpontaneous

Identifiers

PMID37936730
PMCPMC10626113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.