Studies on the Effectiveness of Locoregional Treatment plus Chemotherapy for Head and Neck Squamous-Cell Carcinoma
Results from studies examining mortality risk in patients with nonmetastatic head and neck squamous-cell carcinoma receiving either locoregional treatment plus chemotherapy versus locoregional treatment alone.
dat.pignon2000
The data frame contains the following columns:
| id | numeric |
study id number |
| trial | character |
trial abbreviation |
| OmE | numeric |
observed minus expected number of deaths in the locoregional treatment plus chemotherapy group |
| V | numeric |
corresponding variance |
| grp | numeric |
timing of chemotherapy: 1 = adjuvant, 2 = neoadjuvant, 3 = concomitant |
The purpose of this meta-analysis was to examine the mortality risk in patients with nonmetastatic head and neck squamous-cell carcinoma receiving either locoregional treatment plus chemotherapy versus locoregional treatment alone. For 65 trials, the dataset provides the observed minus expected number of deaths and corresponding variances in the locoregional treatment plus chemotherapy group. Based on these values, we can estimate the log hazard ratios with OmE/V and the corresponding sampling variance with 1/V.
The trials were also divided according to the timing of the chomotherapy: (1) adjuvant, after the locoregional treatment, (2) neoadjuvant, before the locoregional treatment, and (3) concomitant, chemotherapy given concomitantly or alternating with radiotherapy.
Pignon, J. P., Bourhis, J., Domenge, C., & Designe, L. (2000). Chemotherapy added to locoregional treatment for head and neck squamous-cell carcinoma: Three meta-analyses of updated individual data. Lancet, 355(9208), 949–955.
### copy data into 'dat' dat <- dat.pignon2000 ### compute estimated log hazard ratios and sampling variances dat$yi <- with(dat, OmE/V) dat$vi <- with(dat, 1/V) dat ### meta-analysis based on all 65 trials res <- rma(yi, vi, data=dat, method="FE", digits=2) res predict(res, transf=exp) ### only adjuvant trials res <- rma(yi, vi, data=dat, method="FE", subset=grp==1, digits=2) res predict(res, transf=exp) ### only neoadjuvant trials res <- rma(yi, vi, data=dat, method="FE", subset=grp==2, digits=2) res predict(res, transf=exp) ### only concomitant trials res <- rma(yi, vi, data=dat, method="FE", subset=grp==3, digits=2) res predict(res, transf=exp)
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