Evidence map›Paper›PMID 38516519›Full record

ArticleActa medica Lituanic2023

Outcomes of Surgical Treatment for Localized Tenosynovial Giant-Cell Tumor of the Foot and Ankle: A Case Series.

Edoardo Ipponi, Alfio Damiano Ruinato, Leonardo Lombardi, Martina Cordoni, Silvia De Franco, Antonio D'Arienzo, Lorenzo Andreani

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Acta medica Lituanic, 2023. 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
0.5field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

7 authors at 1 institution in 1 country.

Edoardo IpponiDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
Alfio Damiano RuinatoDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
Leonardo LombardiDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
Martina CordoniDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
Silvia De FrancoDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
Antonio D'ArienzoDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
Lorenzo AndreaniDepartment of Orthopedics and Trauma surgery, University of Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Thirteen cases suffering from GCTTS of the foot and ankle underwent surgical resection at our institution between 2017 and 2022. For each case we recorded pre-operative and post-operative symptoms, as well as their pre-operative and post-operative functional status according to both MSTS and AOFAS scores. Eventual complications and local recurrences were reported. Results: Each patient experienced an at least mild pain before surgical treatment. The mean pre-operative MSTS and AOFAS scores were 22.8 and 70.7, respectively. The mean tumor size was 17.7 mm. Each patient received a resection with wide margins. Two cases (15.4%) had local recurrences. None had major complications at their latest follow-up. After the surgery, the mean post-operative MSTS and AOFAS scores increased to 28.3 and 92.2, respectively. Conclusion: Resection with wide margins for foot and ankle GCTTS is effective in restoring the patients' lower limb functionality and is associated with reasonable local recurrence rates.

Indexed as

ankleAOFASfootfunctionalitygiant cell tumor of the tendon sheathresectionTenosynovial giant cell tumor

Identifiers

PMID38516519
PMCPMC10952426
OpenAlexW4387731108

What OpenQuestion holds

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Registered trials

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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.