Evidence map›Paper›PMID 22052444›Full record

ReviewCurrent rheumatology reports2012

Application of biomarkers to clinical trials in systemic sclerosis.

Robert Lafyatis

Abstract readReview
In one paragraph

Review in Current rheumatology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

1 author at 1 institution in 1 country.

Robert LafyatisBoston University School of Medicine, Arthritis Center, Boston, MA 02118, USA. lafyatis@bu.edu
University School · US

Funding

Translational studies for identifying and targeting novel pathways in systemic sclerosis pathogenesisP50AR060780 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MALLAMPALLI, RAMA K · 2011 to 2021
$14.9M
Innate immunity in dermal fibrosis and systemic sclerosisR01AR051089 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAFYATIS, ROBERT A. · 2005 to 2015
$2.8M
NIAMS NIH HHS P50 AR060780NIAMS NIH HHS R01 AR051089
6 · The paper itself

Abstract

Important clinical advances in the treatment of systemic sclerosis have been made, yet fibrotic disease remains largely untreatable. Optimal design of clinical trials to test new therapeutics for fibrotic disease features has suffered from dual difficulties in patient selection and patient evaluation. Patient selection for entry into trials for treatment of interstitial lung disease and/or skin fibrosis is challenged by the natural history of the disease, which stabilizes in some patients while relentlessly progressing in others, and our lack of good clinical markers to distinguish between these trajectories. Patient evaluation is made difficult, particularly in skin disease, by the inherent difficulty in quantifying the extent of disease. Biomarkers hold the potential to solve many of these problems as surrogate outcome measures and as markers for disease progression. Identified biomarkers may have the potential to graduate to surrogate outcome singly or, more likely, in combination. Predictive biomarkers are still largely unknown.

Indexed as

BiomarkersClinical Trials as TopicHumansPrognosisScleroderma, SystemicSeverity of Illness IndexTreatment OutcomeBiomarkers

Identifiers

PMID22052444
PMCPMC3261634
OpenAlexW2021630501

What OpenQuestion holds

Textmetadata
LicenceTDM
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.