Evidence map›Paper›PMID 26236636›Full record

ReviewThe journal of the American College of Clinical Wound Specialists2012

Venous Ulcers.

J A Caprini, H Partsch, R Simman

Open access · bronzeAbstract readReview
In one paragraph

Review in The journal of the American College of Clinical Wound Specialists, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact, top 56% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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 3 institutions in 2 countries.

J A CapriniDepartment of Surgery, Division of Vascular Surgery, NorthShore University HealthSystem, Evanston, IL, USA ; Department of Surgery, The University of Chicago Pritzker School of Medicine, Chicago, IL 60637, USA.
H PartschDepartment of Dermatology, Medical University of Vienna, Austria.
R SimmanDivision of Plastic and Reconstructive Surgery, Wright State University Boonshoft School of Medicine, Dayton 45435, OH, USA ; Department of Pharmacology and Toxicology, Wright State University Boonshoft School of Medicine, Dayton 45435, OH, USA.
Medical University of Vienna · ATUniversity of Chicago · USWright State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Venous leg ulcers are the most frequent form of wounds seen in patients. This article presents an overview on some practical aspects concerning diagnosis, differential diagnosis and treatment. Duplex ultrasound investigations are essential to ascertain the diagnosis of the underlying venous pathology and to treat venous refluxes. Differential diagnosis includes mainly other vascular lesions (arterial, microcirculatory causes), hematologic and metabolic diseases, trauma, infection, malignancies. Patients with superficial venous incompetence may benefit from endovenous or surgical reflux abolition diagnosed by Duplex ultrasound. The most important basic component of the management is compression therapy, for which we prefer materials with low elasticity applied with high initial pressure (short-stretch bandages and Velcro-strap devices). Local treatment should be simple, absorbing and not sticky dressings keeping adequate moisture balance after debridement of necrotic tissue and biofilms are preferred. After the ulcer is healed compression therapy should be continued in order to prevent recurrence.

Indexed as

Compression therapyVenous insufficiencyVenous ulcerWound care

Identifiers

PMID26236636
PMCPMC4511547
OpenAlexW2913798281

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.