Introduction The TEACHH score was developed to identify patients with predicted short (< 3 months) and long (> 1 year) life expectancy. We aimed to validate this model in an independent group of patients presenting for palliative spine radiotherapy and to compare it to alternate prognostic models. Methods We retrospectively reviewed charts of 195 consecutive patients referred for palliative spine radiotherapy. Patients were grouped according to the number of risk factors from the TEACHH model, Chow model, and Oswestry Risk Index. Results One hundred and eighty patients with a median age of 65 years were included. Follow-up was 5.8 months in all patients and 31.8 months in living patients. For the TEACHH model, patients in groups 1, 2, and 3 had a median (95% CI) overall survival (OS) of 22.3 (15.7–36.1), 4.9 (3.8–6.6), and 1.5 (0.8–5.4) months, respectively. Wilcoxon pairwise comparisons showed statistically different survival between groups 1 and 2, and 1 and 3. In the Chow model, patients in groups 1, 2, and 3 had a median (95% CI) OS of 16.1 (10.0–22.3), 5.9 (3.8–9.2), and 1.9 (1.2–2.5) months, respectively. There was a significant difference between all groups. The Oswestry Risk Index identified five prognostic groups with median
Supportive Care in Cancer – Springer Journals
Published: Feb 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera