Evidence map›Paper›PMID 26489089›Full record

ArticlePloS one2015

Where Failure Is Not an Option -Personalized Medicine in Astronauts.

Julia C Stingl, Susanne Welker, Gunther Hartmann, Volker Damann, Ruppert Gerzer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Julia C StinglResearch Division, Federal Institute for Drugs and Medical Devices, Bonn, Germany; Centre for Translational Medicine, University Bonn Medical Faculty, Bonn, Germany.
Susanne WelkerResearch Division, Federal Institute for Drugs and Medical Devices, Bonn, Germany.
Gunther HartmannInstitute for clinical chemistry and clinical pharmacology, University of Bonn, Bonn, Germany.
Volker DamannSpace Medicine Office, European Space Agency, Cologne, Germany.
Ruppert GerzerInstitute of Aerospace Medicine, German Aerospace Center, Cologne, Germany.
University of Bonn · DEDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEEuropean Astronaut Centre · DEFederal Institute for Drugs and Medical Devices · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug safety and efficacy are highly variable among patients. Most patients will experience the desired drug effect, but some may suffer from adverse drug reactions or gain no benefit. Pharmacogenetic testing serves as a pre-treatment diagnostic option in situations where failure or adverse events should be avoided at all costs. One such situation is human space flight. On the international space station (ISS), a list of drugs is available to cover typical emergency settings, as well as the long-term treatment of common conditions for the use in self-medicating common ailments developing over a definite period. Here, we scrutinized the list of the 78 drugs permanently available at the ISS (year 2014) to determine the extent to which their metabolism may be affected by genetic polymorphisms, potentially requiring genotype-specific dosing or choice of an alternative drug. The purpose of this analysis was to estimate the potential benefit of pharmacogenetic diagnostics in astronauts to prevent therapy failure or side effects.

Indexed as

AstronautsPharmacogeneticsSpace FlightDrug-Related Side Effects and Adverse ReactionsHumansPrecision MedicineSelf Medication

Identifiers

PMID26489089
PMCPMC4619198
OpenAlexW2174258585

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.