cho_2023_ipss

48,953 responses from 1,875 respondents to 7 items.

One of 2 tables from the same source; this one measures International Prostate Symptom Score (IPSS). The others are listed under Related tables.

About this table

DescriptionInternational Prostate Symptom Score (IPSS), 7 items, 0-5, at baseline (wave 0) and 1, 3, 6, 12, 24, 36 and 48 months after laser prostatectomy; N = 1,875 patients with at least one assessment; cov_age, cov_procedure (1 HPS, 2 HoLEP).
ReferenceCho, M. C., et al. (2023). Does preoperative bladder compliance affect long-term functional outcomes after laser prostatectomy? World Journal of Men's Health. https://doi.org/10.5534/wjmh.220081. Data: https://doi.org/10.7910/DVN/ZESEYD
DOI10.5534/wjmh.220081
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ZESEYD

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses48,953
Respondents1,875
Items7
Response categories6
Responses per respondent26.108
Responses per item6993.286
Density3.730
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleClinical
construct typePhysical health/functioning
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)kor
construct nameInternational Prostate Symptom Score (IPSS)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cho_2023_prostatectomy_ipss.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_procedureCovariate Tx_group_bi

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cho_2023_ipss")
# Python
pip install irw

import irw
df = irw.fetch("cho_2023_ipss")

How to cite

@article{Yoo_2023, title={Does Preoperative Bladder Compliance Affect Long-Term Functional Outcomes after Laser Prostatectomy?}, volume={41}, ISSN={2287-4690}, url={http://dx.doi.org/10.5534/wjmh.220081}, DOI={10.5534/wjmh.220081}, number={3}, journal={The World Journal of Men’s Health}, publisher={XMLink}, author={Yoo, Sangjun and Jeong, Hyeon and Son, Hwancheol and Oh, Seung-June and Paick, Jae-Seung and Cho, Min Chul}, year={2023}, pages={734} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0