Evidence map›Paper›PMID 32624612›Full record

ArticleJournal of food science and technology2020

Nutrient selection and optimization to formulate a nutrient bar stable on storage and specific to women at risk of osteoporosis.

Rafiya Munshi, Anita Kochhar, Amarjeet Kaur

Abstract read
In one paragraph

Article in Journal of food science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Nutritional, Phytochemical, andInternational journal of food science · 2022
    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

3 authors.

Rafiya MunshiDepartment of Extension Education, Sher-e-Kashmir University of Agricultural Sciences and Technology- Kashmir (SKUAST-K), Shalimar, Srinagar, J&K India.
Anita KochharDepartment of Food and Nutrition, College of Home Science, Punjab Agricultural University, Ludhiana, Punjab India.
Amarjeet KaurDepartment of Food Science and Technology, Punjab Agricultural University, Ludhiana, Punjab India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of study was to select and characterize different food ingredients of plant origin and to optimize different levels of their formulations to develop nutrient bars; stable on storage and specific to women at risk of osteoporosis. After intensive literature review, ingredients selected include-cereal-mix of brown rice, oats and corn flakes, defatted soy flour, dried fruit mix of figs, dates and golden raisins, flaxseeds, two herbs namely dandelion leaves (

Indexed as

BMDFunctional foodsOsteoporosis

Identifiers

PMID32624612
PMCPMC7316932

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.