Evidence map›Paper›PMID 34832854›Full record

ArticlePharmaceuticals (Basel, Switzerland)2021

A Comparison of Different Approaches to Clinical Phenotyping of Lithium Response: A Proof of Principle Study Employing Genetic Variants of Three Candidate Circadian Genes.

Jan Scott, Mohamed Lajnef, Romain Icick, Frank Bellivier, Cynthia Marie-Claire, Bruno Etain

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. 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 at 2 institutions in 2 countries.

Jan ScottInstitute of Neuroscience, Newcastle University, Newcastle NE7 6RU, UK.ORCID 0000-0002-7203-8601
Mohamed LajnefINSERM UMR 955, IMRB, Université Paris Est Créteil, F-94000 Créteil, France.
Romain IcickINSERM UMR-S 1144, Université de Paris, F-75006 Paris, France.
Frank BellivierINSERM UMR-S 1144, Université de Paris, F-75006 Paris, France.
Cynthia Marie-ClaireINSERM UMR-S 1144, Université de Paris, F-75006 Paris, France.ORCID 0000-0002-2282-134X
Bruno EtainINSERM UMR-S 1144, Université de Paris, F-75006 Paris, France.ORCID 0000-0002-5377-1488
Inserm · FRDélégation Paris 7 · FR

Funding

APHP GAN12Inserm C0829
6 · The paper itself

Abstract

Optimal classification of the response to lithium (Li) is crucial in genetic and biomarker research. This proof of concept study aims at exploring whether different approaches to phenotyping the response to Li may influence the likelihood of detecting associations between the response and genetic markers. We operationalized Li response phenotypes using the Retrospective Assessment of Response to Lithium Scale (i.e., the Alda scale) in a sample of 164 cases with bipolar disorder (BD). Three phenotypes were defined using the established approaches, whilst two phenotypes were generated by machine learning algorithms. We examined whether these five different Li response phenotypes showed different levels of statistically significant associations with polymorphisms of three candidate circadian genes (

Indexed as

bipolar disordercircadian genesgeneticslithiummachine learningphenotyperesponse

Identifiers

PMID34832854
PMCPMC8625673
OpenAlexW3208232807

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.