Author, date and country | Patient group | Study type (level of evidence) | Outcomes | Key results | Study Weaknesses |
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Lagares et al 2005 Spain | Patients with SAH | Retrospective Cohort study 2b | Score on Glasgow Outcome Scale at 6 months. Scores 12 and 2 were classified as a good outcome (G) and 3, 4 and 5 as a poor outcome (P). | 442 patients, 6 were lost to follow up. GCS 15 (205) G177 P28 p<0.001; GCS 12-14 (132) G71 P61 p=0.09; GCS 9-11 (16) G3 P13 p=0.4; GCS 6-8 (30) G7 P23 p=0.06; GCS <6 (53) G4 P49. The p values are to see if there is a significant dufference between adjacent groups. | The majority of the data is not statistically significant. The authors also show bias toward the new scale they have developed. |
Ingagawa T 2000 Japan | 123 patients with SAH | Retrospective cohort study. Level 2b | GCS as a predictor for mortality at 30 days and 2 years | GCS 15 30D = 100% p=0.693, 2Y = 97% p=0.175; GCS 13-14 30D =94% p0.664, 2Y = 88% p=0.406; GCS 7-12 30D = 69% p=0.003, 2Y = 65% p=0.230; GCS 3-6 30D 20% p=0.099, 2Y = 17% p=0.343. | The numbers involved in the study were small and only mortality was considered as an outcome. The data was shown to be not statistically significant but the author still comes to the conclusion that GCS predicts mortality at 30 days and 2 years. |
Takagi K et al 1999 Japan | 1398 patients with aneurysmal SAH | Retrospective cohort study. Level 2b. | Glasgow outcome score. A scale from 1-5. 1 is death 5 is good recovery | Overall there is a better outcome with a higher GCS score preoperatively. A GOS of five was as follows: GCS 15 = 84.6% p<0.000001; GCS 14 = 68% p=0.026; GCS 13 = 56.1% p=0.97;GCS 12 = 54.7% p=0.96; GCS 11 = 53.8% p=0.11; GCS10 =37.5 p=0.52; GCS 9 = 37.8% p=0.81; GCS 8 = 41.3% p=0.01; GCS 7 = 26.2% p=0.083; GCS 6 = 14.7% p=0.40; GCS 5 = 21.1% p=0.46; GCS 4 = 12.7% p=0.08; GCS3 = 3.1%. P values are for significance of difference between adjacent scores | The data between the scores is not statistically valid so does not answer my question. The author suggests where there is statistical significance the scores can be split into groups. Although the sample size is large no sample size estimates have been performed so the lack of significance could be due to insufficient data |
Chiang VL at al 1999 USA | 56 patients with altered mental status after SAH. All were undergoing surgery. | Retrospective cohort study. Level 2b. | GOS at 6 months in comparison to worst and best GCS Pre-treatment and post treatment scores. | Using GSC all grades are significantly valid for prediction of outcome p<0.05, especially if the worst pre-treatment score is used p = 0.0001 | Small study group. Data on GCS is not presents in tables and the author shows bias toward other scales measured. |
Lin CL at al 1998 Taiwan | 56 patients with SAH | Retrospective cohort study | The 46 patients who survived were interviewed over a period ranging 10-18 months | GCS on discharge was predictive of activity of daily life at follow up. 80% of the patients experienced a good recovery. | A small study. The abstract does not state if the data was statistically valid. |
Oshiro EM et al 1997 USA | Patients with aneurysmal SAH | Retrospective cohort study. Level 2b | GOS and Mortality | GCS 15 Mortality 4.9%, Mean GOS 4.2; GCS 12-14 Mortality 14.8%, Mean GOS 3.6; GCS 9-11 Mortality 19%, Mean GOS 2.7; GCS 6-8 Mortality 56.2% Mean GOS 1.9; GCS 3-5 Mortality 78.6%, Mean GOS 1.4. GCS was the strongest predictor for discharge odds ratio 2.585 p<0.0001 but not mortality. | No reason was given for grouping the GCS scores in such a way. The GOS scores were only given at discharge and perhaps if a follow up had been done the outcome would have been different. |
Longstreth WT et al 1993 USA | Patients with aneurysmal SAH 18 years and above. | Retrospective cohort study. Level 2b. | Glasgow outcome scale (GOS) at 1 month and 1 year after ictus. | GCS on admission was best predictor of outcome: GCS 13-15 (19) none had a poor outcome; GCS 8-12 (86) 27% had a poor outcome; GCS 6-7 (15) 67% had a poor outcome; GCS 3-5 (46) 98% had a poor outcome. The odds ratio for this being statistically significant is 0.56. | The sample size was small but no explaination was given for this. The stats calculations were difficult to interpret and no p values were calculated |