Evidence map›Paper›PMID 24948202›Full record

ReviewInternational urology and nephrology2014

Preventing the progression of chronic kidney disease: two case reports and review of the literature.

Muhammad R Toor, Anjali Singla, Jin K Kim, Xenia Sumin, Maria V DeVita, Michael F Michelis

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

Review in International urology and nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Muhammad R ToorLenox Hill Hospital, 100 East 77th Street, New York, NY, 10075, USA, drtoor4@hotmail.com.
Anjali Singla
Jin K Kim
Xenia Sumin
Maria V DeVita
Michael F Michelis
Lenox Hill Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A variety of therapeutic modalities are available to alter the abnormalities seen in patients with chronic kidney disease (CKD). A comprehensive plan can now be developed to slow the progression of CKD. Two clinical cases of delay in the need for renal replacement therapy are described. This delay was achieved by using recognized recommendations for optimal diabetes therapy (HbA1c target 7 %), goals for blood pressure levels, reduction of proteinuria, and the proper use of ACEI/ARB therapies. Recent recommendations include BP <140/90 mmHg for patients <60 years old and <150/90 mmHg for older patients unless they have CKD or diabetes. Limits on dietary sodium and protein intake and body weight reduction will decrease proteinuria. Proper treatment for elevated serum phosphorous and parathyroid hormone levels is now appreciated as well as the benefits of therapy for dyslipidemias and anemia. Concerns regarding unfavorable outcomes with excess ESA therapy have led to hemoglobin goals in the 10-12 g/dL range. Finally, new therapeutic considerations for the treatment of acidosis and hyperuricemia are presented with data available to suggest that increasing serum bicarbonate to >22 mmol/L is beneficial, while serum uric acid therapeutic goals are still uncertain. Also, two as yet insufficiently understood approaches to altering the course of CKD (FGF-23 level reduction and balancing gut microbiota) are noted.

Indexed as

AgedDisease ProgressionFemaleFibroblast Growth Factor-23Follow-Up StudiesHumansMaleMiddle AgedRenal Insufficiency, ChronicRenal Replacement TherapyFibroblast Growth Factor-23

Identifiers

PMID24948202
OpenAlexW2091854978

What OpenQuestion holds

Textmetadata
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.