Evidence map›Paper›PMID 21079921›Full record

ArticlePsychopharmacology2011

Lack of association between 71 variations located in candidate genes and response to acute haloperidol treatment.

Ina Giegling, Antonio Drago, Martin Schäfer, Annette M Hartmann, Thomas Sander, Mohammad Reza Toliat, Hans-Jürgen Möller, Diana De Ronchi, Hans H Stassen, Dan Rujescu and 1 more

Abstract read
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In one paragraph

Article in Psychopharmacology, 2011. 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, top 86% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 4 institutions in 3 countries.

Ina GieglingDepartment of Psychiatry, Ludwig Maximilians University, Munich, Germany.
Antonio Drago
Martin Schäfer
Annette M Hartmann
Thomas Sander
Mohammad Reza Toliat
Hans-Jürgen Möller
Diana De Ronchi
Hans H Stassen
Dan Rujescu
Alessandro Serretti
Ludwig-Maximilians-Universität München · DEUniversity of Bologna · ITUniversity of Cologne · DEUniversity Psychiatric Hospital · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleThe antipsychotic pharmacological treatment effectiveness and side effects are at least partially driven by the genetic personal background.

objectivesIn the present study, 71 genetic variations located in 21 candidate genes were investigated as modulators of the haloperidol efficacy and side effects in a sample of 101 acutely ill psychotic patients.

methodsPatients were assessed at days 0, 7, 14, 21, and 28 (Positive and Negative Syndrome Scale (PANSS) test) and days 1, 3, 7, 14, 21, and 28 (UKU, BAS, and ESRS tests). Haloperidol plasma levels were measured at the same timepoints.

resultsNone of the 71 variations were associated with response to treatment or with incidence of side effects passed a multiple testing threshold. A marginal association was detected between two haplotypes within the signal transducer and activator of transcription 4 gene and PANSS positive and dopamine beta-hydroxylase with PANSS negative scores (p = 0.004 and p = 0.008, respectively).

conclusionsIn conclusion, no major association was observed between the investigated variations and the efficacy profile of haloperidol.

Indexed as

Genetic VariationAdultAntipsychotic AgentsFemaleGene FrequencyGenome-Wide Association StudyGenotypeHaloperidolHumansMaleMental DisordersMiddle AgedPsychiatric Status Rating ScalesTime FactorsAntipsychotic AgentsHaloperidol

Identifiers

PMID21079921
OpenAlexW2050188578

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.