Evidence map›Paper›PMID 25917313›Full record

ReviewJournal of clinical hypertension (Greenwich, Conn.)2015

Defining, Treating, and Understanding Chronic Kidney Disease--A Complex Disorder.

Dean Campbell, Matthew R Weir

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of clinical hypertension (Greenwich, Conn.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Association of Serum Thyroid Hormones with the Risk and Severity of Chronic Kidney Disease Among 3563 Chinese Adults.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Defining, Treating, and Understanding Chronic Kidney Disease--A Complex Disorder.Journal of clinical hypertension (Greenwich, Conn.) · 2015
    Review
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.

Dean CampbellDepartment of Internal Medicine, University of Maryland School of Medicine, Baltimore, MD.
Matthew R WeirDivision of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is prevalent in more than 20 million people in the United States. The majority of care provided to patients with this disease comes from primary care physicians, although it is often poorly understood. After an extensive literature review, it is clear that it can be difficult to classify and there are many barriers to care. Risk factors for both incident CKD and disease progression include hypertension, poor glycemic control, sociodemographic factors, acute kidney injury, metabolic acidosis, and possibly hyperuricemia and dietary factors. Treatment of patients with CKD should focus on mitigating risk factors, as well as common comorbidities such as cardiovascular disease, anemia, and bone mineral disease. Novel therapies such as pirfenidone, pentoxifylline, and endothelin-1 antagonists are being investigated with promising results.

Indexed as

HumansRandomized Controlled Trials as TopicRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID25917313
PMCPMC8031501
OpenAlexW2093535891

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.