Evidence map›Paper›PMID 41750967›Full record

ReviewFoods (Basel, Switzerland)2026

Scoping Review of Pre-Consumption Food Loss in the US Supply Chain: Factors, Impacts, and Solutions.

Shuai Ma, Laxmi Prasanna Kandi, Zhihong Xu, Peng Lu, Kim E Dooley

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Shuai MaDepartment of Agricultural Leadership, Education, and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0009-0006-2627-1185
Laxmi Prasanna KandiDepartment of Agricultural Leadership, Education, and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0009-0003-4872-1544
Zhihong XuDepartment of Agricultural Leadership, Education, and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-4769-5597
Peng LuDepartment of Agricultural Leadership, Education, and Communication, University of Georgia, Athens, GA 30602, USA.
Kim E DooleyDepartment of Agricultural Leadership, Education, and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-5654-5988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food waste is a major global problem that worsens food insecurity and contributes to environmental challenges and resource depletion. Reducing food waste, especially before it reaches consumers, is a crucial strategy for combating food insecurity and advancing environmental sustainability. This scoping review examines the factors, impacts, and practices related to food loss and waste (FLW) in the pre-consumption stage of the U.S. supply chain using a predefined coding scheme. A machine learning technique (i.e., topic modeling) was used to supplement the manual coding to identify themes. Findings from 104 articles from 2015 to 2024 revealed that (a) macro and micro-level factors were understudied; (b) impacts of FLW were predominantly assessed in terms of environmental consequences, with less attention given to economic, social, cultural, and political impacts; (c) despite the high concentration on donation, prevention, recovery, and recycling as solutions, there were critical gaps in the exploration of policy and regulatory strategies, as well as education and awareness; and (d) minimization is the most dominant approach compared to prevention. We recommend that more research focus on causes of food loss, economic, social, cultural, and political impacts, policy and regulatory strategies, as well as education and awareness. We also recommend shifting from weak minimization efforts to strong prevention practices, emphasizing cooperation among all participants in the supply chain.

Indexed as

food loss and wastemachine learning-assisted reviewscoping reviewsupply chainUnited States

Identifiers

PMID41750967
PMCPMC12940745

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.