Evidence map›Paper›PMID 31244905›Full record

ArticleEuropean endocrinology2019

Strengthening the Family - the 'Five-I' Approach.

Sanjay Kalra, Banshi Saboo, Nam H Cho, Shaukat Sadikot, Dhruvi Hasnani, Hardik Chandarana, Madhur Verma, Sudhir Bhandari, Arvind Gupta, S R Aravind

Open access · diamondAbstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in European endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 14% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 1 country.

Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, India.
Banshi SabooDepartment of Diabetology, Diacare Clinic, Ahmedabad, India.
Nam H ChoDepartment of Medicine, Ajou University School of Medicine, Suwon, Korea.
Shaukat SadikotDepartment of Medicine, Jaslok Hospital, Mumbai, India.
Dhruvi HasnaniDepartment of Diabetology, Diacare Clinic, Ahmedabad, India.
Hardik ChandaranaDepartment of Diabetology, Diacare Clinic, Ahmedabad, India.
Madhur VermaDepartment of Community Medicine, Kalpana Chawla Government Medical College, Karnal, India.
Sudhir BhandariDepartment of Medicine, Sawai Man Singh Medical College & Hospital, Jaipur, India.
Arvind GuptaDepartment of Medicine, Jaipur Diabetes Research Centre, Jaipur, India.
S R AravindDepartment of Medicine, Diacon Hospital, Bengaluru, India.
Bharti Hospital · INDiacon Hospital · INKalpana Chawla Government Medical College and Hospital · INSawai ManSingh Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the importance of the family in diabetes care. It lists the multiple ways in which the family is related to diabetes: as a cause or culprit of diabetes, as a tool or technique for delivering diabetes care and as a target of diabetes or diabetes-care-related complications. The authors suggest an alliterative 'Five-I' approach to guide diabetes care professionals in addressing needs, and utilising strengths, of the family of a person with diabetes. The five 'I's stand for: involved independence, iterative information, interactive interviews, inspired introspection and integrated incorporation. This strategy, based upon evidence and experience, is supported by pragmatism and practicality.

Indexed as

Biopsychosocialfamily-centred careIDFInternational Diabetes Federationpatient-centred careperson-centred careWorld Diabetes Day

Identifiers

PMID31244905
PMCPMC6587897
OpenAlexW2989101122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.