Evidence map›Paper›PMID 33833598›Full record

ArticleRisk management and healthcare policy2021

Association of a Low Geriatric Nutritional Risk Index with Higher Adverse Outcome in the Elderly Patients with Fall Injuries: Analysis of a Propensity Score-Matched Population.

Szu-Wei Huang, Shih-Min Yin, Ching-Hua Hsieh

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

3 authors at 1 institution in 1 country.

Szu-Wei HuangDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan.
Shih-Min YinDepartment of General Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan.ORCID 0000-0002-4684-2268
Ching-Hua HsiehDepartment of Plastic Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, 83301, Taiwan.ORCID 0000-0002-0945-2746
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluate the association of Geriatric Nutritional Risk Index (GNRI) and the adverse outcome in elderly patients (≥65 years old) with fall injuries. PATIENTS AND

methodsTotal 1071 elderly patients with fall injuries were enrolled. Patients were divided into four groups: high risk, moderate risk, low risk and no risk (GNRI: <82, 82 to <92, 92 to ≤98 and >98) for patient demography, comorbidities, and adverse outcomes analysis.

resultsAfter 1:1 propensity score-matched analysis, 97 patients in high-risk group, 144 patients in moderate-risk group, and 114 patients in low-risk group were compared to no risk group. High-risk group patients had a 5.7-fold higher risk of mortality (p = 0.003) and prolong hospital stay (18.0 vs 12.3 days; p = 0.016) when compared to no-risk group patients. Significantly prolong hospital stay were also found in low-risk and moderate-risk group when compared to no risk group.

conclusionA lower GNRI is associated with prolonged hospital stay in the elderly patients with fall injuries. High nutritional risk (GNRI < 82) is associated with an increased in-hospital mortality rate.

Indexed as

elderly patientsfall injuriesGeriatric Nutritional Risk Indextrauma

Identifiers

PMID33833598
PMCPMC8023402
OpenAlexW3142245626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.