Evidence map›Paper›PMID 34800044›Full record

ReviewClinical pharmacology and therapeutics2022

Time to Rethink the Current Paradigm for Assessing Kidney Function in Drug Development and Beyond.

Ashish Sharma, Vaishali Sahasrabudhe, Luna Musib, Steven Zhang, Islam Younis, Jitendra Kanodia

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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 5 institutions in 2 countries.

Ashish SharmaBoehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut, USA.
Vaishali SahasrabudhePfizer Inc., Groton, Connecticut, USA.
Luna MusibGilead Sciences Inc, Foster City, California, USA.
Steven ZhangTakeda Pharmaceuticals, Cambridge, Massachusetts, USA.
Islam YounisGilead Sciences Inc, Foster City, California, USA.
Jitendra KanodiaTheravance Biopharma US Inc, South San Francisco, California, USA.
Gilead Sciences (United States) · USBoehringer Ingelheim (Brazil) · BRPfizer (United States) · USTakeda (United States) · USTheravance Biopharma (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is an important health issue that affects ~ 9.1% of the world adult population. Serum creatinine is the most commonly used biomarker for assessing kidney function and is utilized in different equations for estimating creatinine clearance or glomerular filtration rate (GFR). The Cockcroft-Gault formula for adults and "original" Schwartz formula for children have been the most commonly used equations for estimating kidney function during the last 3-4 decades. Introduction of standardized serum creatinine bioanalytical methodology has reduced interlaboratory variability but is not intended to be used with Cockcroft-Gault or original Schwartz equations. More accurate equations (for instance, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) for adults and bedside Schwartz or Chronic Kidney Disease in Children Schwartz equation for children) based on standardized serum creatinine values (and another biomarker-cystatin C) have been introduced and validated in recent years. Recently, the CKD-EPI equation refitted without a race variable was introduced. Clinical practice guidance in nephrology advocates a shift to these equations for managing health care of patients with CKD. The guidance also recommends use of albuminuria in addition to GFR for CKD diagnosis and management. Significant research with large data sets would be necessary to evaluate whether this paradigm would also be valuable in drug dose adjustments. This article attempts to highlight some important advancements in the field from a clinical pharmacology perspective and is a call to action to industry, regulators, and academia to rethink the current paradigm for assessing kidney function to enable dose recommendation in patients with CKD.

Indexed as

Cystatin CRenal Insufficiency, ChronicAdultBiomarkersChildCreatinineDrug DevelopmentGlomerular Filtration RateHumansKidneyBiomarkersCreatinineCystatin C

Identifiers

PMID34800044
PMCPMC9786617
OpenAlexW3212559354

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.