Evidence map›Paper›PMID 32774616›Full record

ReviewThe Pan African medical journal2020

[Angiosarcoma of the shoulder revealed by previous trauma: about a case and literature review].

Manix Ilunga Banza, Israël Badypwyla Tshiamala, Augustin Kibonge Mukakala, Christelle Ngoie Ngoie, Néron Tapenge Shutsha, Stéphane Ilunga Mukangala, Vincent De Paul Kaoma Cabala, Mireille Meuke Tchankui, Trésor Kibangula Kasanga, Nathalie Dinganga Kapessa

Open access · goldAbstract readCase ReportsReview
In one paragraph

Review in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Manix Ilunga BanzaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Israël Badypwyla TshiamalaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Augustin Kibonge MukakalaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Christelle Ngoie NgoieDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Néron Tapenge ShutshaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Stéphane Ilunga MukangalaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Vincent De Paul Kaoma CabalaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Mireille Meuke TchankuiService de Chirurgie de l´Hôpital Jason Sendwe, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Trésor Kibangula KasangaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
Nathalie Dinganga KapessaDépartement de Chirurgie des Cliniques Universitaires de Lubumbashi, Université de Lubumbashi, Province du Haut-Katanga, Ville de Lubumbashi, République Démocratique du Congo.
University of Lubumbashi · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiosarcoma is a rare tumor which can affect multiple sites. However, it most commonly arises from the skin. Then symptoms have been associated with clinical polymorphism. This tumor has a poor prognosis due to its high tendency to local recurrence and distant metastases. We here report the case of a 72-year old man in whom an angiosarcoma of the shoulder arose from a trauma which occurred one year before it was accidentally detected. The patient presented with persistent pain in a swelling area at the posterior portion of the shoulder involved in the trauma. Clinical examination showed previous and partially calcified hematoma. Diagnosis was based on puncture biopsy of the mass collecting 5 cc of blackish blood and on ultrasound. Shoulder x-ray was normal. An assessment of the swelling was performed. This helped to highlight and resect some reddish, significantly bleeding friable tissue hardly managed for two days and complicated by poorly tolerated anemia corrected with two blood transfusions. Anatomopathological examination of the resected tissues showed moderately differentiated angiosarcoma unfortunately without healthy margins. Staging evaluation was performed in order to detect metastases. No local recurrence was reported over a period of three months and the patient was referred to a specialized center in Lusaka for complementary radiotherapy. The purpose of this work is to report a rare case of angiosarcoma accidentally detected in a patient with a history of trauma to the left shoulder and to highlight the therapeutic features, while conducting a literature review.

Indexed as

AgedBiopsyHemangiosarcomaHumansMaleShoulderShoulder PainWounds and InjuriesAngiosarcomashouldertrauma

Identifiers

PMID32774616
PMCPMC7388634
OpenAlexW3032509910

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.