ArticleThe Journal of international medical research2018
Use of negative pressure wound therapy in a chronic leg wound with coexisting rheumatoid arthritis: a case study.
Article in The Journal of international medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Effects of vacuum sealing drainage to improve the therapeutic effect in patients with orthopedic trauma and to reduce post-operative infection and lower-limb deep venous thrombosis.Experimental and therapeutic medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a case of a 69-year-old woman with rheumatoid arthritis. The patient's condition was managed with steroid therapy for more than 12 years. She had a coexisting infected chronic ulceration in the left leg, which was treated with negative pressure wound therapy for 52 days. Use of this therapy within the wound reduced exudate and the bacterial count, which dramatically accelerated the process of wound healing.
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Registered trials
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.