Evidence map›Paper›PMID 32591997›Full record

ReviewIndian journal of pediatrics2020

Renal Tubular Acidosis.

Arvind Bagga, Aditi Sinha

Abstract readReview
PubMed Publisher
In one paragraph

Review in Indian journal of pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Etiology and outcomes of primary renal tubular acidosis.Pediatric nephrology (Berlin, Germany) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Pediatric Nephrology: Update for Clinicians.Indian journal of pediatrics · 2020
    Article
  16. Approach to Renal Tubular Acidosis - A Review.Indian journal of endocrinology and metabolism
    Review
  17. Article
  18. 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.

Arvind BaggaDivision of Nephrology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India. arvindbagga@hotmail.com.ORCID 0000-0002-7832-684X
Aditi SinhaDivision of Nephrology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, 110029, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal tubular acidosis (RTA) comprises a group of disorders characterized by low capacity for net acid excretion and persistent hyperchloremic metabolic acidosis, despite preserved glomerular filtration rate. RTA are classified into chiefly three types (1, 2 and 4) based on pathophysiology and clinical and laboratory characteristics. Most patients have primary RTA that presents in infancy with polyuria, growth retardation, rickets and/or hypotonia. Diagnosis requires careful evaluation, including exclusion of other entities that can cause acidosis. A variety of tests, administered stepwise, are useful for the diagnosis and characterization of RTA. A genetic or acquired basis can be determined in majority of patients through focused evaluation. Management involves correction of acidosis and dyselectrolytemia; patients with proximal RTA with Fanconi syndrome and rickets require additional supplements of phosphate and vitamin D.

Indexed as

AcidosisAcidosis, Renal TubularFanconi SyndromeGlomerular Filtration RateHumansPhosphatesPhosphatesAnion gapFanconi syndromeMetabolic acidosis

Identifiers

PMID32591997
OpenAlexW2965567737

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.