Evidence map›Paper›PMID 33859483›Full record

ArticleInfection and drug resistance2021

Efficacy and Safety of Giant Condyloma Acuminatum with Monotherapy of Topical Traditional Chinese Medicine: Report of Eight Cases.

Mei-Fang Wang, Li Lin, Lin-Feng Li

Open access · goldAbstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Mei-Fang WangDepartment of Dermatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Li LinDepartment of Dermatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Lin-Feng LiDepartment of Dermatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.ORCID 0000-0002-8736-6464
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiant condyloma acuminatum (GCA), also called Buschke-Löwenstein tumor, presents as a verrucous infiltrating lesion and is caused by sexual transmission of human papilloma virus. The optimal treatment is controversial and there are no standard guidelines because of its rarity and frequent recurrence. It has a relatively high local recurrence rate.

objectiveWe here report eight patients (six men and two women) with GCA whose lesions were successfully treated topically with traditional Chinese medicine (TCM) preparations, paiteling. METHODS AND MATERIALS: We administered topical TCM preparations to eight patients diagnosed with GCA who had refused surgery. The treatment process included three stages, their durations depending on the speed of resolution of the lesions and the results of visual inspection with acetic acid.

resultsNo significant complications occurred in any patient. The functional and esthetic outcomes were satisfactory. No recurrences were detected during follow-up.

conclusionTopical treatment with TCM preparations may be a good alternative to surgery or other traditional methods for the treatment of GCA. This treatment has the advantages of being non-invasive, painless, and having a low risk of recurrence, and may be a useful adjunct to mainstream medical treatments.

Indexed as

dermatosis symptomsGCAgiant condyloma acuminatumpaitelingTCMtraditional Chinese medicinetreatment

Identifiers

PMID33859483
PMCPMC8043789
OpenAlexW3148022405

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.