Pregled bibliografske jedinice broj: 856741
Extracting data from figures with software was faster, with higher interrater reliability than manual extraction
Extracting data from figures with software was faster, with higher interrater reliability than manual extraction // Journal of clinical epidemiology, 74 (2016), 119-123 doi:10.1016/j.jclinepi.2016.01.002 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 856741 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Extracting data from figures with software was faster, with higher interrater reliability than manual extraction
Autori
Jeličić Kadić, Antonia ; Vučić, Katarina ; Došenović, Svjetlana ; Sapunar, Damir ; Puljak, Livia
Izvornik
Journal of clinical epidemiology (0895-4356) 74
(2016);
119-123
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Cochrane, extraction, figures, meta-analysis
Sažetak
Objective was to compare speed and accuracy of graphical data extraction using manual estimation and open source software. Data points from eligible graphs/figures published in randomized controlled trials (RCTs) from 2009 to 2014 were extracted by two authors independently, both by manual estimation and with the Plot Digitizer, open source software. Corresponding authors of each RCT were contacted up to four times via e- mail to obtain exact numbers that were used to create graphs. Accuracy of each method was compared against the source data from which the original graphs were produced. Software data extraction was significantly faster, reducing time for extraction for 47%. Percent agreement between the two raters was 51% for manual and 53.5% for software data extraction. Percent agreement between the raters and original data was 66% vs. 75% for the first rater and 69% vs. 73% for the second rater, for manual and software extraction, respectively. Data extraction from figures should be conducted using software, whereas manual estimation should be avoided. Using software for data extraction of data presented only in figures is faster and enables higher interrater reliability.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Split
Profili:
Katarina Vučić
(autor)
Livia Puljak
(autor)
Svjetlana Došenović
(autor)
Damir Sapunar
(autor)
Antonia Jeličić Kadić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE