ArticleKidney international2015
'How long have I got doctor?' The development and validation of a new prognostic model.
Article in Kidney international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Dialysis Reimbursement: What Impact Do Different Models Have on Clinical Choices?Journal of clinical medicine · 2019Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the current issue of Kidney International, Floege et al report the development and external validation of a prognostic score for patients starting haemodialysis. The model performs well and appears robust in various sub-groups and in external validation. This commentary takes a systematic approach to considering the generalisability of the results and applicability of the prognostic score to wider clinical practice.
Indexed as
Identifiers
25951067What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.