Evidence map›Paper›PMID 24247282›Full record

ArticleScientific reports2013

Systematic reference sample generation for multiplexed serological assays.

Hannes Planatscher, Stefanie Rimmele, Gerd Michel, Oliver Pötz, Thomas Joos, Nicole Schneiderhan-Marra

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Serologic Responses in Childhood Pulmonary Tuberculosis.The Pediatric infectious disease journal · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Diagnostic Performance of Tuberculosis-Specific IgG Antibody Profiles in Patients with Presumptive Tuberculosis from Two Continents.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  15. 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

6 authors.

Hannes PlanatscherNMI Natural and Medical Sciences Institute at the University of Tuebingen, Markwiesenstr. 55, 72770 Reutlingen, Germany.
Stefanie Rimmele
Gerd Michel
Oliver Pötz
Thomas Joos
Nicole Schneiderhan-Marra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality controls of serological assays have to contain defined amounts of human antibodies specific for the targeted antigen. A prevailing issue for array-based antigen assays is that dozens of antigens are targeted within the same assay. Commonly different patient sera are combined and optimal pools are empirically identified. Here, we report a mathematical approach how an optimal sample pool composition can be systematically calculated and accurately compiled. The approach was used to compose suitable quality controls for a 71 plex Tuberculosis antigen bead array using a limited number of positive human sera.

Indexed as

ImmunoassayAlgorithmsAntigensBacterial ProteinsHumansImmunoglobulin GMicroarray AnalysisModels, TheoreticalMycobacterium tuberculosisQuality ControlReference ValuesTuberculosisAntigensBacterial ProteinsImmunoglobulin G

Identifiers

PMID24247282
PMCPMC3832875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.