Evidence map›Paper›PMID 40927217›Full record

ReviewOne health (Amsterdam, Netherlands)2025

Clam research in Nunavut: A scoping review of the literature.

Stephanie Gerend, Amy Caughey, Marina Banuet-Martinez, Rachael Vriezen, Karen Shapiro, Rob Jamieson, Theresa Koonoo, Sherilee L Harper

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in One health (Amsterdam, Netherlands), 2025. 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

8 authors.

Stephanie GerendSchool of Public Health, University of Alberta, 1405 87 Ave NW, Edmonton, Alberta T6G 1C9, Canada.
Amy CaugheySchool of Public Health, University of Alberta, 1405 87 Ave NW, Edmonton, Alberta T6G 1C9, Canada.
Marina Banuet-MartinezSchool of Public Health, University of Alberta, 1405 87 Ave NW, Edmonton, Alberta T6G 1C9, Canada.
Rachael VriezenBalsillie School of International Affairs, University of Waterloo, 67 Erb St. W, Waterloo, Ontario N2L 6C2, Canada.
Karen ShapiroSchool of Veterinary Medicine, University of California (Davis), 944 Garrod Dr, Davis, CA 95616, United States.
Rob JamiesonFaculty of Engineering, Dalhousie University, 5217 Morris St, Halifax, Nova Scotia B3J 1B6, Canada.
Theresa KoonooDepartment of Health, Government of Nunavut, Box 1000, Station 1000, Iqaluit, Nunavut, X0A 0H0, Canada.
Sherilee L HarperSchool of Public Health, University of Alberta, 1405 87 Ave NW, Edmonton, Alberta T6G 1C9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clams are an important country food with cultural, environmental, and health significance for Inuit communities in Nunavut. We analyzed the extent, range, and nature of published research on clams in Nunavut, Canada. We used a systematic and transparent scoping review methodology by applying a search string across three databases to identify potentially relevant articles. Two independent reviewers screened the titles and abstracts (phase 1), followed by article full texts (phase 2), using inclusion and exclusion criteria. Data were extracted from 25 included articles and descriptively analyzed. We also conducted thematic analysis to identify overarching themes, ideas, and gaps. The most frequent topic of research was using clams to understand ecological histories (

Indexed as

ArcticClamsCountry foodInuit healthMya truncataNunavutOne healthᐊᒻᒨᒪᔪᐃᑦ

Identifiers

PMID40927217
PMCPMC12414829

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.