Evidence map›Paper›PMID 11123105›Full record

ReviewCurrent rheumatology reports2000

The promise of transcription profiling for understanding the pathogenesis of scleroderma.

D R Strehlow

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2000. 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

1 author.

D R StrehlowBoston University School of Medicine, Department of Medicine, 715 Albany Street, K5, Boston, MA 02215, USA. strehlow@bu.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription profiling, expression fingerprinting, and microarray analysis are terms that describe the cataloging of mRNA levels in a given tissue. Recent profiling technologies allow the determination of thousands of mRNA transcript levels simultaneously. The application of this technology to scleroderma has already offered insights into the disease. This article reviews these recent findings and also describes the technology itself in its several variations, along with cost comparisons. Finally, the types of information we might derive from transcription profiling are reviewed and it is asked whether this technology will significantly advance our understanding of scleroderma.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisTranscription, GeneticDNA FingerprintingFemaleHumansMaleRNA, MessengerScleroderma, SystemicSensitivity and SpecificityRNA, Messenger

Identifiers

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.