Evidence map›Paper›PMID 33516222›Full record

ArticleBMC surgery2021

Perianal and perineal rhabdomyosarcomas: a retrospective multicenter study of 35 cases.

Yaoyu Guo, Bang Hu, Dandan Huang, Xinhua Wang, Juan Li, Di Zhang, Xueying Li, Gong Chen, Donglin Ren

Open access · goldAbstract read
In one paragraph

Article in BMC surgery, 2021. 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
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Yaoyu Guo *The Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China.
Bang Hu *The Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China.
Dandan HuangThe Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China.
Xinhua WangThe Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China.
Juan LiThe Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China.
Di ZhangThe Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China.
Xueying LiDepartment of Colorectal Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng East Road, Yuexiu District, Guangzhou, 510080, People's Republic of China.
Gong ChenDepartment of Colorectal Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng East Road, Yuexiu District, Guangzhou, 510080, People's Republic of China. chengong@sysucc.org.cn.
Donglin RenThe Sixth Affiliated Hospital, Sun Yat-Sen University, 26 Yuancun Erheng Road, Tianhe District, Guangzhou, 510655, People's Republic of China. rendl111@163.com.ORCID http://orcid.org/0000-0001-5599-8654
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerianal/perineal rhabdomyosarcomas (PRMS) are easily misdiagnosed soft tissue tumours with a poor prognosis. This study was designed to analyze the clinical, diagnostic, pathological and prognostic features of PRMS, and to explore currently available therapeutic modalities.

methodsClinical data of PRMS patients admitted to the Sixth Affiliated Hospital and the Cancer Center of Sun Yat-sen University and from related Chinese literature published from 1987 to 2018 were collected and analyzed. The Chi-square test was used to evaluate the differences between each group. The Kaplan-Meier methods were applied to estimate and compare survival rates.

resultsA total of 35 patients were included in this study; 20 identified within related Chinese literatures and 15 from our center admitted during the period of 1997-2019. Out of these cases, 34 presented with perianal masses and the remaining one manifested as an inguinal mass. Moreover, 20 patients complained of pain and 16 of them were misdiagnosed as perianal abscesses, in which the presence of pain contributed to the misdiagnosis (p < 0.05). The average time interval between symptom onset and pathological diagnosis was 3.1 months. Next, 13 cases were classified into IRS group III/IV and 20 cases into stages 3/4. Additionally, 14 and 9 cases received the pathological diagnoses of embryonal rhabdomyosarcoma and alveolar rhabdomyosarcoma, respectively. Regarding the patients' survival rates, five patients survived for more than 2 years, and three of them survived for more than 5 years. The overall 2 years and 5 years survival rates were 32% and 24%, respectively. The symptom of pain and misdiagnosis both contributed to the poor prognosis in these patients (p < 0.05). MRI showed that the PRMS were closely related to external anal sphincter in 10 cases.

conclusionPRMS are easily misdiagnosed lesions, which often leads to an unfavourable outcome in affected patients. Patients with painful perianal masses should be evaluated to exclude PRMS. MRI revealed that PRMS are closely related to the external anal sphincter. Multidisciplinary management is recommended in the treatment of PRMS.

Indexed as

AdolescentAdultAnal CanalAnus NeoplasmsChildChild, PreschoolDiagnosis, DifferentialDiagnostic ErrorsHumansImage-Guided BiopsyInfantKaplan-Meier EstimateMagnetic Resonance ImagingMiddle AgedPerineumPrognosisAbscessPerianalPerinealRhabdomyosarcoma

Identifiers

PMID33516222
PMCPMC7847558
OpenAlexW3127948952

What OpenQuestion holds

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LicenceCC BY
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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.