Evidence map›Paper›PMID 38531580›Full record

ArticleBMJ open2024

Hidden hunger in patients with type 2 diabetes (T2D) and its effect on glycaemic control: a protocol for systematic review and meta-analysis.

Daya Krishan Mangal, Diksha Gautam, Anuj Kumar Pandey, Nida Shaikh, Sidharth Sekhar Mishra, Himanshu Tolani, Yeshwanth Sonnathi, Shiv Dutt Gupta, Kamlesh Chand Sharma, Jagdish Prasad and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

12 authors at 3 institutions in 1 country.

Daya Krishan MangalIIHMR University, Jaipur, India mangaldk@iihmr.org.ORCID 0000-0003-1574-8321
Diksha GautamInternational Institute of Health Management Research, New Delhi, Delhi, India.ORCID 0000-0001-6730-7304
Anuj Kumar PandeyInternational Institute of Health Management Research, New Delhi, Delhi, India.ORCID 0000-0002-3525-4823
Nida ShaikhInternational Institute of Health Management Research, New Delhi, Delhi, India.ORCID 0009-0006-5715-6307
Sidharth Sekhar MishraInternational Institute of Health Management Research, New Delhi, Delhi, India.ORCID 0000-0002-9711-5503
Himanshu TolaniInternational Institute of Health Management Research, New Delhi, Delhi, India.ORCID 0000-0003-4922-6206
Yeshwanth SonnathiIIHMR University, Jaipur, India.ORCID 0000-0001-5149-5259
Shiv Dutt GuptaIndian Institute of Health Management Research, Jaipur, India.ORCID 0000-0002-8641-3724
Kamlesh Chand SharmaIIHMR University, Jaipur, India.ORCID 0009-0002-0544-7162
Jagdish PrasadInternational Institute of Health Management Research, New Delhi, Delhi, India.ORCID 0000-0002-8168-690X
Rajeev TewariIIHMR University, Jaipur, India.ORCID 0009-0003-9594-0934
Fahmina AnwarAbbott Nutrition Research and Development, Mumbai, India.ORCID 0000-0003-2193-1050
International Management Institute · INIIHMR University · INAbbott (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHidden hunger or micronutrient deficiencies are quite common in many parts of the world, particularly in the countries of sub-Saharan Africa and South Asia. Micronutrient deficiencies may impact insulin signalling pathways and glucose metabolism, potentially accelerating the onset and development of type 2 diabetes (T2D). This review aims to estimate the prevalence of multiple micronutrient deficiencies among patients with T2D and assess the effect of their deficiency on glycaemic control. METHODOLOGY: The review follows the Cochrane Handbook and PRISMA 2020 guidelines. It includes all eligible studies reporting the prevalence of micronutrient deficiencies and their effect on glycaemic control in T2D patients. We would undertake a comprehensive literature search across databases: PubMed, Scopus, EMBASE, LILACS, ProQuest, Google Scholar and grey literature, and identify the studies meeting the inclusion criteria. We would perform data extraction using a prepiloted data extraction sheet and record relevant study characteristics and outcomes. ANALYSIS: Data will be analysed using JBI Sumari software and R software. Pooled prevalence/incidence of micronutrient deficiency will be estimated, and variance will be stabilised using logit transformation and a double-arcsine transformation of the data. The OR and risk ratio of glycaemic control among T2D cases with and without micronutrient deficiency will be estimated using the 'rma' function under the 'meta' and 'metafor' packages.The study findings will have implications for diabetes management strategies and may inform interventions targeting improved glycaemic control through addressing micronutrient deficiencies. ETHICS AND DISSEMINATION: This systematic review will be based on the scientific information available in the public domain; therefore, ethics approval is not required. We will share the study findings at national and international conferences and submit them for publication in relevant scientific journals. PROSPERO REGISTRATION NUMBER: CRD42023439780.

Indexed as

Diabetes Mellitus, Type 2MalnutritionHumansHungerMeta-Analysis as TopicMicronutrientsReview Literature as TopicSystematic Reviews as TopicMicronutrientsDIABETES & ENDOCRINOLOGYEPIDEMIOLOGYNUTRITION & DIETETICSPUBLIC HEALTHSystematic Review

Identifiers

PMID38531580
PMCPMC10966822
OpenAlexW4393203250

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.