Evidence map›Paper›PMID 17164005›Full record

ArticleBMC medicine2006

Chronic kidney disease care delivered by US family medicine and internal medicine trainees: results from an online survey.

Oliver Lenz, Alessia Fornoni

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Oliver LenzDivision of Nephrology and Hypertension, University of Miami Miller School of Medicine, Miami, FL, USA. olenz@med.miami.edu
Alessia Fornoni
University of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplications of chronic kidney disease (CKD) contribute to morbidity and mortality. Consequently, treatment guidelines have been developed to facilitate early detection and treatment. However, given the high prevalence of CKD, many patients with early CKD are seen by non-nephrologists, who need to be aware of CKD complications, screening methods and treatment goals in order to initiate timely therapy and referral.

methodsWe performed a web-based survey to assess perceptions and practice patterns in CKD care among 376 family medicine and internal medicine trainees in the United States. Questions were focused on the identification of CKD risk factors, screening for CKD and associated co-morbidities, as well as management of anemia and secondary hyperparathyroidism in patients with CKD.

resultsOur data show that CKD risk factors are not universally recognized, screening for CKD complications is not generally taken into consideration, and that the management of anemia and secondary hyperparathyroidism poses major diagnostic and therapeutic difficulties for trainees.

conclusionEducational efforts are needed to raise awareness of clinical practice guidelines and recommendations for patients with CKD among future practitioners.

Indexed as

AnemiaCardiovascular DiseasesChronic DiseaseClinical CompetenceFamily PracticeGuideline AdherenceHumansHyperparathyroidismHypertensionInternal MedicineInternetInternship and ResidencyKidney DiseasesNutrition DisordersPopulation SurveillancePractice Guidelines as Topic

Identifiers

PMID17164005
PMCPMC1713248
OpenAlexW1876136600

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.