Influence of the month of birth on persistence of ADHD in prospective studies: protocol for an individual patient data meta-analysis

被引:2
|
作者
Gosling, Corentin J. [1 ,2 ]
Pinabiaux, Charlotte [1 ]
Caparos, Serge [3 ,4 ]
Delorme, Richard [5 ,6 ]
Cortese, Samuele [7 ,8 ,9 ,10 ,11 ]
机构
[1] Paris Nanterre Univ, DysCo Lab, Dept Psychol, Nanterre, France
[2] Univ Paris, EA 4057, Dept Psychol, Paris, France
[3] Paris 8 Univ, DysCo Lab, Dept Psychol, St Denis, France
[4] Inst Univ France, Paris, France
[5] AP HP, Dept Child & Adolescent Psychiat, Paris, France
[6] Inst Pasteur, Human Genet & Cognit Funct, Paris, France
[7] Univ Southampton, Ctr Innovat Mental Hlth, Sch Psychol, Fac Environm & Life Sci, Southampton, Hants, England
[8] Univ Southampton, Fac Med, Clin & Expt Sci CNS & Psychiat, Southampton, Hants, England
[9] Solent NHS Trust, Southampton, Hants, England
[10] NYU, Ctr Child Study, Langone, Hassenfeld Childrens Hosp, New York, NY USA
[11] Univ Nottingham, Sch Med, Div Psychiat & Appl Psychol, Nottingham, England
来源
BMJ OPEN | 2020年 / 10卷 / 11期
关键词
ADHD; persistence; month of birth; meta-analysis; PARTICIPANT DATA; RELATIVE AGE; DIAGNOSIS; STABILITY; DISORDER; CHILDREN;
D O I
10.1136/bmjopen-2020-040952
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with symptoms, especially the hyperactive ones, that tend to decrease in severity with age. Interestingly, children born just before the school-entry cut-off date (ie, the youngest pupils of a classroom) are at higher risk of being diagnosed with ADHD compared with children born just after the cut-off date. Noteworthy, this month-of-birth effect tends to disappear with increasing absolute age. Therefore, it is possible that young children erroneously diagnosed with ADHD due to their month of birth present a lower chance to have their diagnosis confirmed at a later age, artificially reinforcing the low persistence of ADHD across the lifespan. This protocol outlines an individual patient data (IPD) meta-analysis of prospective observational studies to explore the role of the month of birth in the low persistence of ADHD across the lifespan. Methods and analysis Five databases will be systematically searched in order to find prospective observational studies where the presence of ADHD is assessed both at baseline and at a follow-up of at least 4 years. We will use a two-stage IPD meta-analytic approach to estimate the role of the month of birth in the persistence of ADHD. Various sensitivity analyses will be performed to assess the robustness of the results. Ethics and dissemination No additional data will be collected and no de-identified raw data will be used. Ethics approval is thus not required for the present study. Results of this IPD meta-analysis will be submitted for publication in a peer-reviewed journal. PROSPERO registration number CRD42020212650
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Association between relative age at school and persistence of ADHD in prospective studies: an individual participant data meta-analysis
    Gosling, Corentin J.
    Caparos, Serge
    Pinabiaux, Charlotte
    Schwarzer, Guido
    Ruecker, Gerta
    Agha, Sharifah S.
    Alrouh, Hekmat
    Ambler, Antony
    Anderson, Peter
    Andiarena, Ainara
    Arnold, L. Eugene
    Arseneault, Louise
    Asherson, Philip
    Babinski, Leslie
    Barbati, Vittoria
    Barkley, Russell
    Barros, Aluisio J. D.
    Bell, Laura J.
    Berenguer, Carmen
    van Bergen, Elsje
    Biederman, Joseph
    Birmaher, Boris
    Boe, Tormod
    Boivin, Michel
    Boomsma, Dorret I.
    Brandt, Valerie C.
    Bressan, Rodrigo A.
    Brocki, Karin C.
    Broughton, Thomas R.
    Bufferd, Sara J.
    Bussing, Regina
    Cao, Meng
    Cartigny, Ariane
    Casas, Ana Miranda
    Caspi, Avshalom
    Castellanos, F. Xavier
    Caye, Arthur
    Cederkvist, Luise
    Collishaw, Stephan
    Copeland, William E.
    Cote, Sylvana M.
    Coventry, William L.
    Debes, Nanette M. M. Mol
    Denyer, Hayley
    Dodge, Kenneth A.
    Dogru, Hicran
    Efron, Daryl
    Eller, Jami
    Abd Elmaksoud, Marwa
    Ercan, Eyup Sabri
    LANCET PSYCHIATRY, 2023, 10 (12): : 922 - 933
  • [2] Acupuncture for functional constipation: protocol of an individual patient data meta-analysis
    Zheng, Qianhua
    Zheng, Hui
    Lu, Lingyun
    Leng, Jincheng
    Zhou, Siyuan
    Zheng, Huabin
    Huang, Wenjing
    Liu, Zhishun
    Zhu, Bing
    Li, Ying
    BMJ OPEN, 2015, 5 (05):
  • [3] Is orthostatic hypotension related to falling? A meta-analysis of individual patient data of prospective observational studies
    Hartog, Laura Caroline
    Schrijnders, Dennis
    Landman, G. W. D.
    Groenier, Klaas
    Kleefstra, Nanne
    Bilo, Henk J. G.
    van Hateren, Kornelis Johannes Jongers
    AGE AND AGEING, 2017, 46 (04) : 568 - 575
  • [4] Prospective meta-analysis using individual patient data in intensive care medicine
    Reade, Michael C.
    Delaney, Anthony
    Bailey, Michael J.
    Harrison, David A.
    Yealy, Donald M.
    Jones, Peter G.
    Rowan, Kathryn M.
    Bellomo, Rinaldo
    Angus, Derek C.
    INTENSIVE CARE MEDICINE, 2010, 36 (01) : 11 - 21
  • [5] Prospective meta-analysis using individual patient data in intensive care medicine
    Michael C. Reade
    Anthony Delaney
    Michael J. Bailey
    David A. Harrison
    Donald M. Yealy
    Peter G. Jones
    Kathryn M. Rowan
    Rinaldo Bellomo
    Derek C. Angus
    Intensive Care Medicine, 2010, 36 : 11 - 21
  • [6] Individual patient data meta-analysis: An example
    Tu, Yu-Kang
    Pandis, Nikolaos
    Spineli, Loukia
    AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2024, 166 (06) : 619 - 623
  • [7] Individual patient data meta-analysis in cancer
    M Clarke
    L Stewart
    J-P Pignon
    L Bijnens
    British Journal of Cancer, 1998, 77 : 2036 - 2044
  • [8] What is an individual patient data meta-analysis?
    Cipriani, Andrea
    Barbui, Corrado
    EPIDEMIOLOGIA E PSICHIATRIA SOCIALE-AN INTERNATIONAL JOURNAL FOR EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES, 2007, 16 (03): : 203 - 204
  • [9] Diagnosing heart failure in primary care: individual patient data meta-analysis of two European prospective studies
    Roalfe, Andrea K.
    Taylor, Clare J.
    Kelder, Johannes C.
    Hoes, Arno W.
    Hobbs, F. D. Richard
    ESC HEART FAILURE, 2021, 8 (03): : 2193 - 2201
  • [10] Meta-analysis of diagnostic test studies using individual patient data and aggregate data
    Riley, Richard D.
    Dodd, Susanna R.
    Craig, Jean V.
    Thompson, John R.
    Williamson, Paula R.
    STATISTICS IN MEDICINE, 2008, 27 (29) : 6111 - 6136