Evidence map›Paper›PMID 29249036›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2018

Impact of diet restriction in the management of diabetes: evidences from preclinical studies.

Pawan Krishan, Onkar Bedi, Monika Rani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Pawan KrishanDepartment of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, India. pawankrishan@rediffmail.com.
Onkar BediJRF, DST-SERB, New Delhi, Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India.
Monika RaniDepartment of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India.
Punjabi University · IN

Funding

DST SERB,New Delhi EMR/2014/000438
6 · The paper itself

Abstract

The inappropriate dietary habits lead to the onset of age-related pathologies which include diabetes and cardiovascular ailments. Dietary restriction and nutritional therapy play an important role in the prevention of these chronic ailments. Preclinical research provides a basis for the therapeutic exploration of new dietary interventions for the clinical trials to potentiate the scientific management of diabetes and its related complications which further help in translating these nutritional improvements from bench to bedside. Within the same context, numerous therapeutically proved preclinical dietary interventions like high-fiber diet, caloric restriction, soy isoflavone-containing diets, etc., have shown the promising results for the management of diabetes and the associated complications. The focus of the present review is to highlight the various preclinical evidences of diet restriction for the management of diabetes and which will be helpful for enlightening the new ideas of nutritional therapy for future research exploration. In addition, some potential approaches are also discussed which are associated with various nutritional interventions to combat progressive diabetes and the associated disorders. Graphical abstract ᅟ.

Indexed as

Caloric RestrictionAnimalsDiabetes MellitusDietHumansCaloric restriction (CR)Dietary restriction (DR)HyperinsulinemiaNutrition therapy

Identifiers

PMID29249036
OpenAlexW2774978410

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.