Evidence map›Paper›PMID 30023160›Full record

ArticlePreventive medicine reports2018

When food isn't medicine - A challenge for physicians and health systems.

Sean C Lucan

Abstract read
In one paragraph

Article in Preventive medicine reports, 2018. 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. Review
  4. 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

1 author.

Sean C LucanDepartment of Family and Social Medicine, Albert Einstein College of Medicine|Montefiore Health System, 1300 Morris Park Ave, Block Building, Room 410, Bronx, NY 10461-1900, United States.

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Local food sources around home and school and adolescent dietary intakeK23HD079606 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI LUCAN, SEAN CHRISTIAN · 2015 to 2019
$764k
NICHD NIH HHS K23 HD079606NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

Food can be powerful medicine. Good nutrition helps promote health and prevent and treat disease. Yet nutrition is not often part of a physician's training or clinical practice. Food might not be medicine when it's importance is under-recognized and healthful eating is under-prescribed. Moreover, food cannot be medicine when it is not available to patients (or when available only in the form of unhealthful fare). This paper considers evolving thinking about when food isn't medicine by chronicling the experience of one physician-from college coursework to providing patient care and conducting research. The paper is framed around the experience of a representative patient struggling with diet-related chronic conditions, and describes some community-focused initiatives to help address issues related to food access in challenged communities. A principal focus is the over-abundance of foods from 'plants' (the industrial processing kind) and the low availability of food from 'plants' (the living botanical kind). Physicians and health systems can support access to healthier food and healthier eating, and the idea of food as medicine, through a variety of approaches that extend beyond hospital and clinic walls. Examples of such physician and health-system approaches are provided.

Indexed as

Accountable care organizationsCommunity healthFoodHealth systemsHospitalsMedicineNutritionPhysiciansPublic health

Identifiers

PMID30023160
PMCPMC6047223

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.