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We found no evidence of publication bias in the survival panels.
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Figure 3 displays the GIST size (panel b) and its association with overall and cancer-specific survival (panel a) in patients with non-metastatic disease.
The overview included 61 reproductive (n = 3), maternal (pregnancy: n = 15; childbirth: n = 11; postpartum: n = 4), newborn (n = 12) and child (n = 16) health interventions to assess their impact on neonatal and child survival (Panel 1).
Figure 2 shows the Kaplan-Meier graphs for the Disease Specific Survival, DSS, (panel a), for the Local Control (panel b) and for the Loco-regional Control (panel c) for the two groups of patients.
Figure 1 summarises the results for the age-standardised 1-year relative survival (upper panel) and for the 5∣1-year conditional relative survival (lower panel).
Fig. 4 Changes in the survival rate (left panel) and viable count (right panel) of air-blast dried yeast cells stored at 4 °C for 3 months.
Finally, we correlated immunopositivity for NSE with patient survival using a panel of glioma biopsies.
Therefore, we analyzed the effects of 2-MS on the growth and survival of a panel of human tumor cell lines.
In the present study, we demonstrate ACA to be capable of predicting radiation cell survival for a panel of six bladder cancer cell lines.
In their study, S100A4 was the most significant predictor of patient survival in a panel of 349 stage I and II breast cancer patients.
In this study, we determined the sensitivity to TMZ, assessed by clonogenic cell survival, in a panel of human tumour cell lines, mostly derived from GBM. Sensitivity of TMZ correlated with the MGMT promoter methylation status (assessed by MS-MLPA, MSP, qMSP and bisulphite sequencing) and MGMT protein expression (western blot).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com