Brede meta-analysis


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Brede Wiki CSV title: 


Column names Number Mean SD Events
Experimentals:
Controls:

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Original data

First AuthorYearNumber of BipolarsNumber ControlsBipolar MeanBipolar SDControl MeanControls SDPooled SDEffect sizeVariance95% confidenceweightweight *effect sizeweight * effect size^2w^2w starwstar*effect sizeLink to paperBipolars numberControls, number ofDiagnosisMethodCT basedAge BipolarsSD Age BipolarsAge Controlssd age cntrl ttxSD Age ControlsFemale BPsFemale CtrlsBipolars numbers included in meta-analysisControls, numbers included in meta-analysisBipolarBipolar SDControlControl SDBipolarBipolar SDControlsControls SDBipolarsBipolars SDControlsControls SD
Nasrallah HA (B)198224277.53.24.52.62.89714849251.01960.090.5911.1411.3611.58124.159.169.34Not available online2427DSM-IIICT131.87.528.75.80024277.53.24.52.6
Pearlson GD198427276.63.44.752.12.82577423020.64520.080.5512.788.255.32163.3910.246.60http://ajp.psychiatryonline.org/cgi/reprint/141/2/2532727DSM-IIICT130.86.730.76151527276.63.44.752.1
Dewan MJ (B)198826226.932.916.321.892.49659158960.24030.080.5711.822.840.68139.819.612.31Not available online2622DSM-IIICT132.7ns31.1ns71026226.932.916.321.89
Iacono WG198818446.21.956.392.762.5566882876-0.07340.080.5512.77-0.940.07162.9910.23-0.75http://ajp.psychiatryonline.org/cgi/reprint/145/7/8201844DSM-IIICT126.17.623.25.691518446.21.956.392.76
Andreasen NC199024757.382.965.752.512.62369103350.61640.060.4717.5410.826.67307.8013.088.06http://ajp.psychiatryonline.org/cgi/reprint/147/7/8932475DSM-IIICT136.514.3434.8913.67123924757.382.965.752.51
Swayze VW1990484710.825.219.714.24.73741990030.23240.040.4023.585.481.27556.0816.163.76Not available online4847DSM-IIIMRI (+T2)0191948475.482.525.152.335.352.834.572.0910.825.219.714.2
Harvey I199011505.5334.682.72.75314919840.30480.110.668.952.730.8380.117.622.32Not available online1150RDCCT1nsnsns11505.5334.682.7
Lewine RRJ19917688.11.68.81.91.8771517334-0.36910.160.786.31-2.330.8639.795.62-2.07http://ajp.psychiatryonline.org/cgi/reprint/148/9/1189768DSM-IIIMRI0nsnsns7688.11.68.81.9
Strakowski SM (B)199317169.14.76.73.24.04427113730.57900.130.707.874.562.6461.916.823.95http://dx.doi.org/10.1016/0006-3223(93)90098-X1716DSM-III-RMRI028.46.830.97.31091716nsnsnsnsnsnsnsns9.14.76.73.2
Ohaeri JU199514414.62.23.51.21.50796626760.71910.100.629.917.135.1398.268.315.98Not available online1441RDCCT134.41532.6111.581514414.62.23.51.2
Zipursky RB1997141755253015402715632328.68491080120.62650.140.737.274.562.8552.896.373.99http://dx.doi.org/10.1016/S0920-9964(97)00042-X1417DSM-III-RMRI035.97.229.96.61181417nsnsnsnsnsnsnsns5525301540271563
Lim KO199991627.810.5120.37.338.57096793280.84620.190.865.254.443.7627.524.764.03ScienceDirect - Schizophrenia Research : Cortical gray matter deficit in patients with bipolar disorder916DSM-III-RMRI044.49.244.36.800916nsnsnsnsnsnsnsns27.810.5120.37.33
Young RC1999301813.34.410.433.94097758780.72380.090.6010.547.635.52111.198.756.33http://dx.doi.org/10.1016/S0006-3223(98)00201-73018RDCCT171.47.774.410.116113018nsnsnsnsnsnsnsns13.34.410.43
Getz GE2002121211.25.3104.85.05618433210.22910.170.805.951.360.3135.445.341.22http://dx.doi.org/10.1016/S0920-9964(01)00210-91212DSM-IVMRI029.28.730.77.5431212nsnsnsnsnsnsnsns11.25.3104.8
Beyer JL (A)2004363532.917.5231.239.598.60247638760.19320.060.4717.663.410.66311.8513.142.54Wiley InterScience: Journal: Abstract3635DSM-IVMRI058.87.9163.25.352422363517.069.2416.1711.7215.857.5215.069.5932.917.5231.239.59
Chang K (B)200520201.210.531.070.450.49162994210.27910.100.629.892.760.7797.878.302.32http://dx.doi.org/10.1016/j.biopsych.2005.03.0392020DSM-IVMRI (+T2)014.62.814.12.8442020nsnsnsnsnsnsnsns1.210.531.070.45
McDonald C2006385417.477.9716.168.618.35282693330.15550.040.4222.243.460.54494.4515.522.41http://ajp.psychiatryonline.org/cgi/content/full/163/3/4783854DSM-IVMRI04111.740.215.3232938549.124.518.334.188.353.887.834.7517.477.9716.168.61

Interpreted data and analysis

Study Experimentals Controls Effects
Mean SD Events N Mean SD Events NSDpooled Effect SE CI Z P Weight WeightDSL
Nasrallah HA (B) 1982 7.500000 3.200000 nan 24 4.500000 2.600000 nan 272.897148 1.020 0.300 0.432 1.607 3.403 0.001 11.142265 5.530% 9.156589 5.758%
Pearlson GD 1984 6.600000 3.400000 nan 27 4.750000 2.100000 nan 272.825774 0.645 0.280 0.097 1.193 2.307 0.021 12.782508 6.344% 10.235989 6.437%
Dewan MJ (B) 1988 6.930000 2.910000 nan 26 6.320000 1.890000 nan 222.496592 0.240 0.291 -0.330 0.810 0.826 0.409 11.824311 5.869% 9.612230 6.045%
Iacono WG 1988 6.200000 1.950000 nan 18 6.390000 2.760000 nan 442.556688 -0.073 0.280 -0.622 0.475 -0.262 0.793 12.766631 6.336% 10.225806 6.431%
Andreasen NC 1990 7.380000 2.960000 nan 24 5.750000 2.510000 nan 752.623691 0.616 0.239 0.149 1.084 2.582 0.010 17.544239 8.707% 13.078499 8.224%
Swayze VW 1990 10.820000 5.210000 nan 48 9.710000 4.200000 nan 474.737420 0.232 0.206 -0.171 0.636 1.129 0.259 23.581282 11.704% 16.163152 10.164%
Harvey I 1990 5.530000 3.000000 nan 11 4.680000 2.700000 nan 502.753149 0.305 0.334 -0.350 0.960 0.912 0.362 8.950696 4.442% 7.622779 4.794%
Lewine RRJ 1991 8.100000 1.600000 nan 7 8.800000 1.900000 nan 681.877152 -0.369 0.398 -1.149 0.411 -0.927 0.354 6.308296 3.131% 5.618482 3.533%
Strakowski SM (B) 1993 9.100000 4.700000 nan 17 6.700000 3.200000 nan 164.044271 0.579 0.356 -0.120 1.278 1.624 0.104 7.868392 3.905% 6.823452 4.291%
Ohaeri JU 1995 4.600000 2.200000 nan 14 3.500000 1.200000 nan 411.507966 0.719 0.318 0.097 1.342 2.264 0.024 9.912538 4.920% 8.309447 5.225%
Zipursky RB 1997 5525.000000 3015.000000 nan 14 4027.000000 1563.000000 nan 172328.684911 0.627 0.371 -0.100 1.353 1.690 0.091 7.272487 3.609% 6.370760 4.006%
Lim KO 1999 27.800000 10.510000 nan 9 20.300000 7.330000 nan 168.570968 0.846 0.437 -0.010 1.702 1.938 0.053 5.246275 2.604% 4.760227 2.993%
Young RC 1999 13.300000 4.400000 nan 30 10.400000 3.000000 nan 183.940978 0.724 0.308 0.120 1.327 2.350 0.019 10.544747 5.233% 8.749170 5.502%
Getz GE 2002 11.200000 5.300000 nan 12 10.000000 4.800000 nan 125.056184 0.229 0.410 -0.574 1.032 0.559 0.576 5.953250 2.955% 5.335095 3.355%
Beyer JL (A) 2004 32.910000 7.520000 nan 36 31.230000 9.590000 nan 358.602476 0.193 0.238 -0.273 0.660 0.812 0.417 17.659295 8.765% 13.142330 8.265%
Chang K (B) 2005 1.210000 0.530000 nan 20 1.070000 0.450000 nan 200.491630 0.279 0.318 -0.344 0.902 0.878 0.380 9.893137 4.910% 8.295810 5.217%
McDonald C 2006 17.470000 7.970000 nan 38 16.160000 8.610000 nan 548.352827 0.156 0.212 -0.260 0.571 0.733 0.463 22.236235 11.036% 15.519697 9.760%
Meta-analysis (fixed effect) 375 589 0.385 0.070 0.247 0.523 5.461 0.000 100%
Meta-analysis (random effects, DSL) 0.392 0.079 0.237 0.547 4.943 0.000 100%
σa: 0.139508 Q: 19.644659 dof: 16.0 P-value: 0.237

Forest plot

-2 -1 0 1 2 Nasrallah HA (B) 0.000000 Pearlson GD 1.000000 Dewan MJ (B) 2.000000 Iacono WG 3.000000 Andreasen NC 4.000000 Swayze VW 5.000000 Harvey I 6.000000 Lewine RRJ 7.000000 Strakowski SM (B) 8.000000 Ohaeri JU 9.000000 Zipursky RB 10.000000 Lim KO 11.000000 Young RC 12.000000 Getz GE 13.000000 Beyer JL (A) 14.000000 Chang K (B) 15.000000 McDonald C 16.000000 Meta-analysis (fixed effect) Meta-analysis (random effects)

Funnel plot

Effect size Standard error -0.50 -1.00 -1.50 -2.00 0.50 1.00 1.50 2.00 0.20 0.40 0.60 0.80

Warning

Column not matched "number_of_experimental_events". Column not matched "number_of_control_events".

Meta-analysis

This webservice will download a specified page from the Brede Wiki. The page should contain a comma-separated values (CSV) file with information for a meta-analysis. Study effect sizes and meta-analytic effect sizes will be computed.

The CSV file should provide information about the two groups: "experimentals" and "controls". The information you need to supply depends on whether your data is categorical (binary) or continuous:

You will usually need to specify the column names used for the data, but an automated guess will be performed if columns are not specified.

Symbols

M: mean, SD: standard deviation of data, SDpooled: Pooled standard deviation of data, N: number of data (subjects, etc.), MD: mean difference, SMD: standardized mean difference, CI: 95% confidence interval.

Examples

Acknowledgment

Matthew Kempton. Lundbeck Foundation Center for Integrated Molecular Brain Imaging (CIMBI)
Finn Årup Nielsen, CIMBI, DTU Informatics.