Evidence map›Paper›PMID 23755366›Full record

ArticleF1000prime reports2013

Measurement of disease severity in cutaneous autoimmune diseases.

Cynthia Anyanwu, Jamie Langenhan, Victoria P Werth

Abstract read
In one paragraph

Article in F1000prime reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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.

Cynthia Anyanwu *Philadelphia VA Medical CenterPhiladelphia, PA.
Jamie Langenhan *Philadelphia VA Medical CenterPhiladelphia, PA.
Victoria P WerthPhiladelphia VA Medical CenterPhiladelphia, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of disease-specific outcome instruments for several autoimmune skin diseases including cutaneous lupus erythematosus (CLE), dermatomyositis, vitiligo, pemphigus and alopecia areata has facilitated the objective assessment of disease in clinical trials. Validation of these instruments provides reliable tools to measure disease severity and therapeutic effect in clinical studies. However, the existence of multiple outcome measures for each disease and the lack of uniformity between studies has created a challenge in comparing results across trials. Efforts to address this issue include the Core Outcome Measures in Effectiveness Trials (COMET) initiative and international meetings directed at reaching a consensus. Other challenges with the use of outcome measures include difficulties measuring change in mild disease, measuring response in topical studies, and capturing disease activity in skin with extensive post-inflammatory hyperpigmentation.

Identifiers

PMID23755366
PMCPMC3673224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.