Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1186/s12911-025-03275-2

http://scihub22266oqcxt.onion/10.1186/s12911-025-03275-2
suck pdf from google scholar
C12676748!12676748 !41340132
unlimited free pdf from europmc41340132
    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi

pmid41340132
      BMC+Med+Inform+Decis+Mak 2025 ; 25 (1 ): 440
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Quantifying coding integrity and reliability of ICD-11 MMS for rare disease registration: a case study of the Chinese rare disease catalogue #MMPMID41340132
  • Bai X ; Guo J ; Zhang M ; Wang Y ; Li N
  • BMC Med Inform Decis Mak 2025[Dec]; 25 (1 ): 440 PMID41340132 show ga
  • INTRODUCTION: Epidemiological data on rare diseases (RDs) affect the accurate scientific assessment of these diseases and lead to many issues in policy-making, healthcare systems, and legislation. The coding system is crucial for accurately identifying and calculating the incidence rates of each RD. This study focuses on the effectiveness of collecting RD data via the ICD-11 and examines whether the ICD-11 can fully support RD statistics. The findings of this study should provide a foundation for replacing the ICD-10 with the ICD-11. METHODS: This study included 121 RDs from the first "Rare Disease Catalogue"in China. The diseases were recoded independently by two experts in the ICD-11 MMS. A comparative analysis was conducted on the distributions of chapters, code types, and index terms in the ICD-10 and ICD-11 MMS. RESULTS: This study analysed 121 rare diseases (RDs) from China's first Rare Disease Catalogue. These RDs mapped to 204 ICD-10 codes (1.4% of all codes), including 76 (37.3%) non-index terms, and to 171 ICD-11 MMS codes (0.96% of all codes). The proportion of RD codes was significantly lower in ICD-11 than in ICD-10 (0.96% vs. 1.4%, P?
  • |*Clinical Coding/standards [MESH]
  • |*International Classification of Diseases/standards [MESH]
  • |*Rare Diseases/epidemiology/classification [MESH]
  • |*Registries/standards [MESH]
  • |China/epidemiology [MESH]
  • |East Asian People [MESH]
  • |Humans [MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box