Evidence map›Paper›PMID 18095188›Full record

ReviewMolecular biotechnology2008

Validation and quality control of protein microarray-based analytical methods.

Larry J Kricka, Stephen R Master

Abstract readReviewValidation Study
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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  10. Article
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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

2 authors.

Larry J KrickaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, Philadelphia, PA 19104, USA. kricka@mail.med.upenn.edu
Stephen R Master

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein microarray technology is used mainly in the research laboratory and it is being used to uncover important diagnostic and prognostic markers that may one day emerge as routine clinical laboratory tests. It is important that these methods are subject to control procedures, in order to ensure that data of the highest quality are obtained. If quality is not controlled, the assay may yield erroneous results that would mask or confound meaningful diagnostic or prognostic associations. This chapter surveys the range of strategies designed to assure the analytical quality of protein microarray methods and it also highlights some of the potential pitfalls when moving these arrays into routine clinical practice. With the development of appropriate quality control and assurance measures, we anticipate protein microarray-based assays will be of substantial benefit in the future practice of laboratory medicine.

Indexed as

BiotechnologyComputational BiologyData Interpretation, StatisticalHumansOligonucleotide Array Sequence AnalysisProtein Array AnalysisQuality Control

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.