Evidence map›Paper›PMID 25342061›Full record

ReviewCold Spring Harbor perspectives in medicine2014

Toward a unified biosignature for tuberculosis.

Jeroen Maertzdorf, Stefan H E Kaufmann, January Weiner

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A pilot metabolomics study of tuberculosis immune reconstitution inflammatory syndrome.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2019
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  10. Development and Validation of a Parsimonious Tuberculosis Gene Signature Using the digital NanoString nCounter Platform.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
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  12. Review
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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

3 authors at 2 institutions in 1 country.

Jeroen MaertzdorfMax Planck Institute for Infection Biology, Department of Immunology, 10117 Berlin, Germany.
Stefan H E KaufmannMax Planck Institute for Infection Biology, Department of Immunology, 10117 Berlin, Germany.
January WeinerMax Planck Institute for Infection Biology, Department of Immunology, 10117 Berlin, Germany.
Max Planck Institute for Infection Biology · DEMax Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and rapid diagnosis of active tuberculosis (TB) disease is still hampered by inadequate tools. Although current assays relying on single-marker readouts mostly display inadequate sensitivity and/or specificity, host-related multimarker signatures are especially poorly developed. As a consequence, research programs have been initiated to search for combinations of markers-so-called biosignatures with superior performance. Many such investigations harness high-throughput platforms to analyze the host response during infection and disease. A major challenge for these activities is the analysis of vast amounts of data produced. Specialized bioinformatic tools are being applied to identify the most robust biosignatures for classification of exposed and diseased individuals and prognosis of risk of disease in endemic areas. Validation of the most promising biosignatures in ongoing multicohort studies will bring us a step closer to the identification of an accurate unified signature.

Indexed as

AlgorithmsArtificial IntelligenceBiological AssayBiomarkersGene Expression ProfilingGenetic MarkersHumansPredictive Value of TestsSensitivity and SpecificityTuberculosisBiomarkersGenetic Markers

Identifiers

PMID25342061
PMCPMC4292082
OpenAlexW2118825095

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.