Evidence map›Paper›PMID 39926004›Full record

ArticleF1000Research2024

Case Report: An exceptional localisation in the thigh of a giant primary subcutaneous hydatid cyst.

Aymen Fekih, Jacem Saadana, Firas Chaouch, Firas Boughattas, Ikram Haddada

Abstract readCase Reports
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Aymen FekihFattouma Bourguiba University Hospital of Monastir, Orthopaedic Department, University of Monastir, Monastir, Tunisia.ORCID https://orcid.org/0000-0003-4681-6075
Jacem SaadanaFattouma Bourguiba University Hospital of Monastir, Orthopaedic Department, University of Monastir, Monastir, Tunisia.
Firas ChaouchFattouma Bourguiba University Hospital of Monastir, Orthopaedic Department, University of Monastir, Monastir, Tunisia.
Firas BoughattasFattouma Bourguiba University Hospital of Monastir, Orthopaedic Department, University of Monastir, Monastir, Tunisia.
Ikram HaddadaTaher Sfar University Hospital, Physical Medicine Department, University of Monastir,, Mahdia, Tunisia.ORCID https://orcid.org/0009-0008-4115-2680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydatid disease is a zoonotic disease caused by the larval stage of Echinococcus granulosus and is found globally. Although the liver and lungs are the most prevalent sites of involvement, sub-cutaneous hydatid cysts are rare especially in the primary occurrence. Sub-cutaneous hydatid cysts usually are noticed as slow growing, painless, and mobile masses beneath the overlying skin which is usually normal and are generally found on the trunk and proximal extremities. To the best of our knowledge, very few cases of primary subcutaneous hydatid cysts of the thigh have been documented. We present a case of a 30-year-old woman from a rural setting, who has a large, painless swelling on her thigh. Imaging studies confirmed the presence of a primary subcutaneous hydatid cyst, which is an atypical presentation of the disease. The entire lesion was excised surgically without any evidence of recurrence for a long period postoperatively. This case illustrates the difficulty in establishing a diagnosis and the importance of early surgical management in these cases.

Indexed as

EchinococcosisSubcutaneous TissueThighAdultAnimalsEchinococcus granulosusFemaleHumansHydatid cystPrimarySubcutaneousThigh

Identifiers

PMID39926004
PMCPMC11803403

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.