PMID- 23746713
OWN - NLM
STAT- MEDLINE
DCOM- 20131106
LR  - 20191210
IS  - 1527-9995 (Electronic)
IS  - 0090-4295 (Linking)
VI  - 82
IP  - 2
DP  - 2013 Aug
TI  - Validating a claims-based method for assessing severe rectal and urinary adverse 
      effects of radiotherapy.
PG  - 335-40
LID - S0090-4295(13)00458-5 [pii]
LID - 10.1016/j.urology.2013.02.071 [doi]
AB  - OBJECTIVE: To validate a claims-based algorithm for detecting severe rectal and 
      urinary adverse effects (AEs) of radiotherapy (RT) to inform the design and 
      interpretation of outcomes studies, using administrative datasets to detect such 
      RT AEs. METHODS: An institutional billing analysis was performed to identify 
      patients managed with RT for prostate or cervical cancer at the University of 
      Minnesota, between 2000 and 2006. A priori, we identified Current Procedural 
      Terminology procedural codes consistent with treatment for severe RT AEs. A 
      retrospective chart review and a billing (ie "claims") analysis were performed to 
      detect the procedures used to treat RT AEs. The accuracy of the claims-based 
      algorithm was compared with chart review (the reference standard). RESULTS: On 
      chart review, 31 patients (7.6%) with severe rectal and urinary RT AEs were 
      detected among 406 patients with nonmetastatic cancer at diagnosis. The most 
      common AE was ureteral stenosis (25% of all AEs). The sensitivity and specificity 
      of the claims-based analysis were 75% and 100% respectively for urethral 
      stricture, 100% and 99% respectively for ureteral stricture, 60% and 100% 
      respectively for radiation cystitis, 88% and 100% respectively for rectal or 
      urinary fistula, and 88% and 100% respectively for radiation proctitis. 
      CONCLUSION: We demonstrated an excellent specificity and yet fairly good 
      sensitivity of our claims-based algorithm for detecting treatment of urethral 
      stricture, rectal or urinary fistulas, radiation proctitis, and ureteral 
      stricture. These data might inform the design and interpretation of studies using 
      claims-based methods for the detection of severe urinary AEs of pelvic RT.
CI  - Copyright (c) 2013 Elsevier Inc. All rights reserved.
FAU - Sewell, Joseph M
AU  - Sewell JM
AD  - Department of Urologic Surgery, University of Minnesota, School of Medicine, 
      Minneapolis, MN, USA.
FAU - Rao, Amrita
AU  - Rao A
FAU - Elliott, Sean P
AU  - Elliott SP
LA  - eng
PT  - Journal Article
PT  - Validation Study
DEP - 20130606
PL  - United States
TA  - Urology
JT  - Urology
JID - 0366151
SB  - IM
CIN - Urology. 2013 Aug;82(2):340; discussion 340. PMID: 23746712
MH  - Aged
MH  - Aged, 80 and over
MH  - *Algorithms
MH  - Constriction, Pathologic/etiology
MH  - Cystitis/etiology
MH  - Female
MH  - Humans
MH  - *Insurance Claim Review
MH  - Male
MH  - Middle Aged
MH  - Proctitis/etiology
MH  - Prostatic Neoplasms/*radiotherapy
MH  - Radiation Injuries/*etiology
MH  - Radiotherapy/adverse effects
MH  - Rectal Fistula/etiology
MH  - Rectum/radiation effects
MH  - Retrospective Studies
MH  - Sensitivity and Specificity
MH  - Ureter/radiation effects
MH  - Ureteral Obstruction/etiology
MH  - Urinary Bladder/radiation effects
MH  - Urinary Fistula/etiology
MH  - Uterine Cervical Neoplasms/*radiotherapy
EDAT- 2013/06/12 06:00
MHDA- 2013/11/07 06:00
CRDT- 2013/06/11 06:00
PHST- 2012/08/16 00:00 [received]
PHST- 2013/01/29 00:00 [revised]
PHST- 2013/02/09 00:00 [accepted]
PHST- 2013/06/11 06:00 [entrez]
PHST- 2013/06/12 06:00 [pubmed]
PHST- 2013/11/07 06:00 [medline]
AID - S0090-4295(13)00458-5 [pii]
AID - 10.1016/j.urology.2013.02.071 [doi]
PST - ppublish
SO  - Urology. 2013 Aug;82(2):335-40. doi: 10.1016/j.urology.2013.02.071. Epub 2013 Jun 
      6.