Evidence map›Paper›PMID 33987046›Full record

ReviewCureus2021

Elder Abuse: A Comprehensive Overview and Physician-Associated Challenges.

Karan Patel, Sean Bunachita, Hannah Chiu, Prakul Suresh, Urvish K Patel

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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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 at 4 institutions in 1 country.

Karan PatelMedicine, Cooper Medical School, Camden, USA.
Sean BunachitaMolecular and Cellular Biology, Johns Hopkins University, Baltimore, USA.
Hannah ChiuMolecular and Cellular Biology, Johns Hopkins University, Baltimore, USA.
Prakul SureshRadiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Urvish K PatelPublic Health and Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
Johns Hopkins University · USCooper Medical School of Rowan University · USIcahn School of Medicine at Mount Sinai · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elder abuse can present in many forms, including physical abuse, psychological/emotional abuse, sexual abuse, financial abuse, and neglect. Many studies estimate that about 10% of all people over the age of 65 experience some form of abuse. These rates are often higher in long-term care facilities such as nursing homes, despite government regulations aimed toward addressing this issue. Because patients who experience abuse tend to have higher rates of hospitalization and mortality, it is important for physicians to be able to accurately identify cases of abuse. However, many studies have found that healthcare professionals are often undertrained and ill-equipped in diagnosing elder abuse. In this article, we outline tools that may be able to aid healthcare professionals in their diagnoses, such as survey-based methodology and common physical signs of abuse. In addition, we propose evidence-based solutions, including the use of multidisciplinary teams and increased training on the subject, so that healthcare professionals can more easily identify victims of abuse. Essentially, it is our hope that this article further spotlights elder abuse and its challenges, while serving as a guide to healthcare professionals.

Indexed as

elder abuse

Identifiers

PMID33987046
PMCPMC8110289
OpenAlexW3148961335

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.