Evidence map›Paper›PMID 32410123›Full record

ArticleJournal of general internal medicine2020

A National Research Strategy to Reduce Firearm-Related Injury and Death: Recommendations from the Health Policy Research Subcommittee of the Society of General Internal Medicine (SGIM).

Rhea E Powell, Chana A Sacks

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Rhea E PowellDivision of Internal Medicine, Department of Medicine, Thomas Jefferson University, Philadelphia, PA, USA. rhea.powell@jefferson.edu.
Chana A SacksDivision of General Internal Medicine and Mongan Institute, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Injury due to firearms is a serious health issue in the USA, leading to nearly 40,000 deaths annually and many more non-fatal injuries. Despite the significant impact on morbidity and mortality, relatively little research funding is dedicated to understanding the impact of firearm-related injury and to developing strategies to mitigate harm. In part, research has been stymied by decades-old language in federal legislation that was interpreted as prohibiting federal funding for firearm injury-related research. This paper, prepared by members of the Society of General Internal Medicine (SGIM), calls for support for research that seeks to understand the nature of firearm-related injury and resources to develop effective approaches to prevent it. We outline recommendations to develop evidence to inform policymakers and the medical and public health communities. These recommendations include (1) development of a shared national research agenda to address firearm-related injury and death; (2) allocation of federal funds specifically for research related to firearm injury; (3) support for the career development of researchers studying firearm-related injury; and (4) facilitating access to comprehensive data sources needed for developing evidence.

Indexed as

FirearmsWounds, GunshotHealth PolicyHumansInternal MedicineResearch Designfirearm injuryhealth policyresearch

Identifiers

PMID32410123
PMCPMC7351911
OpenAlexW3028457376

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.