Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

An examination of the quality and performance of the Alda scale for classifying lithium response phenotypes

J. Scott, B. Etain, M. Manchia, C. Brichant-Petitjean, PA. Geoffroy, T. Schulze, M. Alda, F. Bellivier, ConLiGen collaborators,

. 2020 ; 22 (3) : 255-265. [pub] 20190923

Jazyk angličtina Země Dánsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc20028195

OBJECTIVES: The Retrospective Assessment of the Lithium Response Phenotype Scale (Alda scale) is the most widely used clinical measure of lithium response phenotypes. We assess its performance against recommended psychometric and clinimetric standards. METHODS: We used data from the Consortium for Lithium Genetics and a French study of lithium response phenotypes (combined sample >2500) to assess reproducibility, responsiveness, validity, and interpretability of the A scale (assessing change in illness activity), the B scale, and its items (assessing confounders of response) and the previously established response categories derived from the Total Score for the Alda scale. RESULTS: The key findings are that the B scale is vulnerable to error measurement. For example, some items contribute little to overall performance of the Alda scale (eg, B2) and that the B scale does not reliably assess a single construct (uncertainty in response). Machine learning models indicate that it may be more useful to employ an algorithm for combining the ratings of individual B items in a sequence that clarifies the noise to signal ratio instead of using a composite score. CONCLUSIONS: This study highlights three important topics. First, empirical approaches can help determine which aspects of the performance of any scale can be improved. Second, the B scale of the Alda is best applied as a multidimensional index (identifying several independent confounders of the assessment of response). Third, an integrated science approach to precision psychiatry is vital, otherwise phenotypic misclassifications will undermine the reliability and validity of findings from genetics and biomarker studies.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20028195
003      
CZ-PrNML
005      
20210114153210.0
007      
ta
008      
210105s2020 dk f 000 0|eng||
009      
AR
024    7_
$a 10.1111/bdi.12829 $2 doi
035    __
$a (PubMed)31466131
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a dk
100    1_
$a Scott, Jan $u Institute of Neuroscience, Newcastle University, Newcastle, UK. Université Paris Diderot and INSERM UMRS1144, Paris, France.
245    13
$a An examination of the quality and performance of the Alda scale for classifying lithium response phenotypes / $c J. Scott, B. Etain, M. Manchia, C. Brichant-Petitjean, PA. Geoffroy, T. Schulze, M. Alda, F. Bellivier, ConLiGen collaborators,
520    9_
$a OBJECTIVES: The Retrospective Assessment of the Lithium Response Phenotype Scale (Alda scale) is the most widely used clinical measure of lithium response phenotypes. We assess its performance against recommended psychometric and clinimetric standards. METHODS: We used data from the Consortium for Lithium Genetics and a French study of lithium response phenotypes (combined sample >2500) to assess reproducibility, responsiveness, validity, and interpretability of the A scale (assessing change in illness activity), the B scale, and its items (assessing confounders of response) and the previously established response categories derived from the Total Score for the Alda scale. RESULTS: The key findings are that the B scale is vulnerable to error measurement. For example, some items contribute little to overall performance of the Alda scale (eg, B2) and that the B scale does not reliably assess a single construct (uncertainty in response). Machine learning models indicate that it may be more useful to employ an algorithm for combining the ratings of individual B items in a sequence that clarifies the noise to signal ratio instead of using a composite score. CONCLUSIONS: This study highlights three important topics. First, empirical approaches can help determine which aspects of the performance of any scale can be improved. Second, the B scale of the Alda is best applied as a multidimensional index (identifying several independent confounders of the assessment of response). Third, an integrated science approach to precision psychiatry is vital, otherwise phenotypic misclassifications will undermine the reliability and validity of findings from genetics and biomarker studies.
650    _2
$a bipolární porucha $7 D001714
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé $7 D006801
650    _2
$a lithium $7 D008094
650    _2
$a sloučeniny lithia $x farmakologie $7 D018020
650    _2
$a mužské pohlaví $7 D008297
650    12
$a fenotyp $7 D010641
650    _2
$a psychometrie $x normy $7 D011594
650    _2
$a reprodukovatelnost výsledků $7 D015203
650    _2
$a retrospektivní studie $7 D012189
655    _2
$a časopisecké články $7 D016428
700    1_
$a Etain, Bruno $u Université Paris Diderot and INSERM UMRS1144, Paris, France. Département de Psychiatrie et de Médecine Addictologique, AP-HP, GH Saint-Louis-Lariboisière-F. Widal, Paris, France.
700    1_
$a Manchia, Mirko $u Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy. Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
700    1_
$a Brichant-Petitjean, Clara $u Université Paris Diderot and INSERM UMRS1144, Paris, France. EPS Maison Blanche, Paris, France.
700    1_
$a Geoffroy, Pierre A $u Université Paris Diderot and INSERM UMRS1144, Paris, France.
700    1_
$a Schulze, Thomas $u Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.
700    1_
$a Alda, Martin $u Department of Psychiatry, Dalhousie University, Halifax, NS, Canada. National Institute of Mental Health, Klecany, Czech Republic.
700    1_
$a Bellivier, Frank $u Université Paris Diderot and INSERM UMRS1144, Paris, France. Département de Psychiatrie et de Médecine Addictologique, AP-HP, GH Saint-Louis-Lariboisière-F. Widal, Paris, France.
710    2_
$a ConLiGen collaborators
773    0_
$w MED00007648 $t Bipolar disorders $x 1399-5618 $g Roč. 22, č. 3 (2020), s. 255-265
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31466131 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20210105 $b ABA008
991    __
$a 20210114153207 $b ABA008
999    __
$a ok $b bmc $g 1608530 $s 1119375
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 22 $c 3 $d 255-265 $e 20190923 $i 1399-5618 $m Bipolar disorders $n Bipolar Disord $x MED00007648
LZP    __
$a Pubmed-20210105

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...