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. 2020 Jul 21;10:244. doi: 10.1038/s41398-020-00919-x

Table 1.

Detailed characteristics of longitudinal studies (n = 19).

Authors’ and publication year Country Research centre/Cohort Participants Assessment tool Frequency of assessment Duration of follow-up Method of calculating test score Method of trajectory analysis Number, label and distribution (n/%) of trajectories Significant predictors of trajectoriesa
Positive symptoms
Austin 201519 Denmark Centre for psychiatric research/OPUS trial trail 496 patients with first-episode SSD and <3 months of treatment SAPS Five times 10 years Composite score using global scores Latent class analysis Five: response (233/47), delayed response (60/12), relapse (75/15), non-response (64/13) and episodic response (64/13) Duration of untreated psychosis, global functioning, diagnosis and substance abuse
Pelayo-Terán et al. 201465 Spain University Hospital Marqués de Valdecilla/Clinical Programme on First‐Episode Psychosis of Cantabria (PAFIP) 161 patients with a first episode of non-affective psychosis and no prior treatment SAPS Six times 6 weeks Sum score Group-based trajectory modelling Five: responders (36/22.4), dramatic responders (25/15.2), partial responders (58/36.2), slow partial responders (29/17.9), and non-responders (13/8.3) Duration of untreated psychosis and cannabis use
Chen 201357 USA Mulitcenter trial study, mental health outpatient clinics 400 patients with SSD and treated with first- and second-generation antipsychotics PANSS Seven times 1 year Sum score Growth mixture modelling Three: Class 1 (41/10), Class 2 (317/79) and Class 3 (43/11) Positive and negative symptoms
Abdin 201720 Singapore Institute of Mental Health/Early Psychosis Intervention Programme (EPIP) clinical database. 1724 patients with first-episode psychotic disorder and with no prior or treatment <3 months PANSS Five times 2 years Not clearly reported Latent class growth analysis Two: early response and stable trajectory (/87.7), and delayed response (/12.3) Gender, educational status, duration of untreated psychosis, diagnosis
Negative symptoms
Pelayo-Terán et al. 201465 Spain University Hospital Marqués de Valdecilla/Clinical Programme on First‐Episode Psychosis of Cantabria (PAFIP) 161 patients with a first episode of non-affective psychosis and no prior treatment SANS Six times 6 weeks Sum score Group-based trajectory modelling Five: responders (22/18.8), mild non-responders (44/37.3), moderate non-responders (22/18.3), partial responders (13/11) and poor responders (17/14.5) Schizophrenia diagnosis
Abdin 201720 Singapore Institute of Mental Health/Early Psychosis Intervention Programme (EPIP) clinical database. 1724 patients with first-episode psychotic disorder and with no prior or minimal treatment (<12 weeks) PANSS Five times 2 years Not clearly reported Latent class growth analysis Four: early response and stable trajectory (/84), early response and relapse trajectory (/5.9), slower response and no response trajectory (/8.9) and delayed response (/1.2) Occupational status, educational status, diagnosis
Stiekema et al. 201764 Netherlands Genetic Risk and Outcome of Psychosis (GROUP) 1067 patients with nonaffective psychosis PANSS (social amotivation) Three times 6 years Sum score Group-based trajectory modelling Four: low (670/58.0), decreased low (120/14.6), increased (223/21.2), and decreased high (54/6.2) Age, gender, educational status, ethnicity, marital status, functioning, quality of life, diagnosis, antipsychotics dosage, neurocognitive performance, negative and psosive symptoms
Stiekema et al. 201764 Netherlands Genetic Risk and Outcome of Psychosis (GROUP) 1067 patients with nonaffective psychosis PANSS (expressive deficits) Three times 6 years Sum score Group-based trajectory modelling Four: low (715/63.6), decreased (180/16.6), increased (114/13.9) and high (58/5.9) Age, gender, educational status, ethnicity, marital status, functioning, quality of life, diagnosis, antipsychotics dosage, neurocognitive performance, negative and psosive symptoms
Gee 201661 UK National EDEN study 1006 patients with first episode psychosis and receiving treatment for 12 months PANSS Three times 1 year Mean score Latent class growth analysis Four: minimal decreasing (674/63.9), mild stable (108/13.5), high decreasing (174/17.1) and high stable (50/5.4) Gender, family history of non-affective psychosis, poor premorbid adjustment and depression
Austin 201519 Denmark Centre for psychiatric research/OPUS trial trail 496 patients with first-episode SSD and had received <12 weeks of treatment SANS Five times 10 years Composite score using global scores Latent class analysis Four: response (139/28), delayed response (94/19), relapse (129/26) and non-response (134/27) Gender, social and global functioning, treatment, disorganized symptoms and diagnosis
Chen 201357 USA Mulitcenter trial study, mental health outpatient clinics 400 patients with SSD and treated with antipsychotics PANSS Seven times 1 year Sum score Growth mixture modelling Four: Class 1 (44/11), Class 2 (284/71), Class 3 (9/2), and Class 4 (63/16) Positive and negative symptoms
Chan et al. 202067 Hong Kong, China Public mental health service centres 209 patients with first-episode schizophrenia-spectrum disorders CGI-neg 64 times 10 years Mean score Ward’s method Three: low (117/56.0), improving (61/29.2) and relapsed (31/14.8) Gender, hospitalization, low educational status, unemployment, duration of untreated psychosis, negative symptoms
Chang et al. 201858 Hong Kong, China Public psychiatric units 138 patients with first-episode nonaffective psychosis and not received treatment >1 week HEN Four times 3 years Sum score Latent class growth analysis Three: minimal-stable (81/59.6), mild-stable (40/29.4) and high-increasing (15/11.0) Gender, educational status, premorbid adjustment, cognitive performance, depressive symptoms, positive and negative symptoms
Positive and negative symptoms (PANSS total score)
Schennach et al. 201260 German Multi-centre study/ German Research Network on Schizophrenia (GRNS) 399 patients with schizophrenia spectrum disorder PANSS More than 10 times >5 months Sum score Latent class growth analysis Five: early and considerable response (61/15), rapid and dramatic response (54/14), early and satisfying response (137/34), gradual response (89/22) and partial response (58/15) Depressive symptoms at admission, functioning, duration of illness, previous hospitalizations, positive and negative symptoms
Stauffer et al. 201156 USA and other countries Multicentre study 1990 patients with chronic schizophrenia and receiving treatment PANSS 11 times ≤6 months Sum score Growth mixture modelling Five: dramatic responders (47/2.4), partial responders (1802/90.6), partial responders-unsustained (late) (32/1.6), partial responders-unsustained (early) (28/1.4) and delayed Responders (81/4.1) Age, gender, ethnicity, weight, age of onset, depression symptoms, extrapyramidal symptoms, aripiprazole treatment
Levine 2010a22 12 countries International cohort/ Johnson & Johnson Pharmaceutical Research and Development 491 patients with early episode psychosis and receiving treatment for >3 months PANSS Six times 6 months Sum score Mixed-mode latent class regression modelling Five: stable 1 (91/18.3), stable 2 (104/20.9), stable 3 (132/26.6), improved and stable (76/15.3), and marked improvement) (94/18.9) Diagnosis of schizophrenia, age of onset, cognitive functioning, premorbid functioning
Levine 2010b62 12 countries International cohort/ Johnson & Johnson Pharmaceutical Research and Development 263 patients with early episode psychosis and receiving treatment for >3 months PANSS More than six times 2 years Sum score Mixed-mode latent class regression modelling Five: Trajectory 1 (55/21.0), Trajectory 2 (60/22.9), Trajectory 3 (64/24.4), Trajectory 4 (40/15.2) and Trajectory 5 (44/16.6) Diagnosis, premorbid functioning, cognitive performance, positive and negative symptoms
Case et al. 201117 3 countries 64 research centres 628 patients with psychosis and treated with antipsychotics PANSS Eight times 3 months Sum score Growth-mixture modelling Four: moderate-gradual (420/80.6), rapid (65/12.5), high-gradual (24/4.6), unsustained (12/2.3) improvement Extrapyramidal and depression symptoms, quality of life, age at onset of illness, ethnicity, positive and negative symptoms, general psychopathology
Chen 201357 USA Mulitcenter trial study, mental health outpatient clinics 400 patients with SSD and treated with first- and second-generation antipsychotics PANSS Seven times 1 year Sum score Growth mixture modelling Three: dramatic and sustained early improvement (70/18), mild and sustained improvement (237/59), and no improvement (82/21) Positive and negative symptoms
Levine et al. 201263 USA 57 clinical sites 1124 patients with chronic schizophrenia and receiving treatment PANSS Eight times 1.5 years Sum score adjusted for the baseline score Mixed-mode latent regression modelling Three: low deteriorators (778/69.2), responders (212/18.9) and high deteriorators (134/11.9) Type of antipsychotics, exacerbation, positive and negative symptoms
Jager 201459 Germany ELAN study, psychiatric hospitals 268 patients with SSD and receiving treatment for >1 year PANSS Five times 2 years Sum score Latent class growth analysis Two: amelioration/decrease in all symptoms (154/60 and stable positive/negative symptoms and deteriorating general psychopathology symptoms (103/40) Global functioning, gender, age, living situation and involuntary admission
Cognitive deficits
Habtewold et al. 202066 Netherlands Genetic Risk and Outcome of Psychosis (GROUP) 1119 patients with nonaffective psychosis, 1059 siblings, and 586 controls NTB Three times 6 years PCA, sum of component scores Group-based trajectory modelling Six: very severe (199/0.8), severe (159/6.2), moderate (384/15.1), mild (684/25.8), normal (1056/33.5), and high (462/18.5) Polygenic risk score of schizophrenia
Islam et al. 201852 Netherlands Genetic Risk and Outcome of Psychosis (GROUP) 1119 patients with nonaffective psychosis, 1059 siblings, and 586 controls (results are only for patients) NTB Three times 6 years Gender and age adjusted z-score and then averaging Group-based trajectory modelling Five: severely altered (109/10.7), moderately altered (312/28.4), mildly altered (377/30.4), normal (290/26.7), and high (31/3.8) performer Education, IQ, premorbid functioning, and positive and negative symptoms
Islam et al. 201852 Netherlands Genetic Risk and Outcome of Psychosis (GROUP) 1119 patients with nonaffective psychosis, 1059 siblings, and 586 controls (results are only for siblings) NTB Three times 6 years Gender and age adjusted z-score and then averaging Group-based trajectory modelling Four: moderately altered (132/13.0), mildly altered (260/25.1), normal performer (413/37.6), and high performer (254/24.2) Age, gender, education, ethnicity, IQ, premorbid functioning, positive symptoms, frequency of psychotic experiences, and neurocognitive performances
Thomspson et al. 201316 USA University of California, San Diego Advanced Centre in Innovation in Services and Interventions Research (ACISIR) 201 old clinically stable outpatients with schizophrenia and 67 controls MDRS Four times 3.5 years Sum score Latent growth curve model Three: high and stable (101/50), low and modestly declining (81/42), low and rapidly declining (19/10) Negative symptoms, living situation, years of education, global cognition
Schizotypy
Wang et al. 201868 China University of Chinese Academy of Sciences/Key Laboratory of Mental Health 1541 college students CPPS (4 subscales) Four times 1.5 years Sum score Latent class growth analysis Four: non-schizotypy (1113/72.2), stable-high schizotypy (73/4.74), high-reactive schizotypy (142/13.8), low-reactive schizotypy (213/13.8) Male gender, severe schizotypy

CGI-neg Clinical Global Impressions-Schizophrenia scale for negative symptoms, CPPS Chapman Psychosis Proneness Scales, HEN High Royds Evaluation of Negativity Scale, MDRS Mattis Dementia Rating Scale, NTB Neuropsychological Test Battery (seven tests were used), PANSS Positive and Negative Syndrome Scale, SANS Scale for the Assessment of Negative Symptoms, SAPS Scale for the Assessment of Positive Symptoms, SSD Schizophrenia spectrum disorder.

aResults from pairwise comparisons, univariable or multivariable logistic regression analyses.