Evidence map›Paper›PMID 35361086›Full record

ArticleJoint diseases and related surgery2022

Mid-term outcomes of hemipelvic allograft reconstruction after pelvic bone tumor resections.

Ahmet Fevzi Kekeç, Bedii Şafak Güngör

Open access · diamondAbstract read
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Article in Joint diseases and related surgery, 2022. 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
1.4field-weighted citation impact, top 19% 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

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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, 9 citations in OpenAlex.

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4 · The record

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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

2 authors at 2 institutions in 1 country.

Ahmet Fevzi KekeçNecmettin Erbakan Üniversitesi Tıp Fakültesi Ortopedi ve Travmatoloji Anabilim Dalı, 42080 Meram, Konya, Türkiye. afkekec@hotmail.com.
Bedii Şafak Güngör
Ankara Onkoloji Eğitim ve Araştırma Hastanesi · TRNecmettin Erbakan University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to evaluate survival of patients and implants, functions, and morbidity of surgical technique of reconstruction with a fresh-frozen massive pelvic allograft following a pelvic resection. PATIENTS AND

methodsBetween January 2009 and December 2016, a total of 19 patients (12 males, 7 females; mean age: 35.8±14.4 years; range, 10 to 53 years) who underwent reconstruction with fresh-frozen massive allograft after internal hemipelvectomy were retrospectively analyzed. Patients̓ age, sex, resection types, histopathology and grades, surgical margins, operative times, intraoperative blood loss, complications experienced during their treatment (infection, dislocation, implant failure, nonunion, local recurrence and metastasis), neoadjuvant and adjuvant therapies they received, and functional scores were revealed and analyzed in 10 years period.

resultsAccording to the Enneking and Dunham classification, two (10%) patients had type I resection only, six (32%) had type I-II, one (5%) had a type II resection, one (5%) had type II-III resection, three (16%) had type I-II-III resection, one (5%) had type I-IV resection, and five (26%) had type I-II-IV resection. The resection involved the acetabulum (type II) in all, but three patients. Several complications were seen in 12 patients, although seven patients had no complication. Pelvic resections had a high mortality rate in patients with malignant tumors and reconstruction with massive allograft had a high morbidity rate with susceptibility to many complications. Prolonged surgical time was found to be directly related to blood loss. Deep infection significantly worsened functional results.

conclusionDespite the high complication rates seen in pelvic resections, massive pelvic allografts represent a valid option for reconstruction after resection of pelvic tumors, but due to the associated morbidity, patients should be carefully selected.

Indexed as

Bone NeoplasmsPelvic BonesAdultAllograftsFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeYoung Adult

Identifiers

PMID35361086
PMCPMC9057553
OpenAlexW4220982188

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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.