Evidence map›Paper›PMID 38299137›Full record

ArticleCureus2023

Multicenter Study to Validate a Hospitalization Risk Assessment Tool in Hemodialysis Patients.

Muhammad Nauman Hashmi, Hammad Raza, Muhammad A Khan, Shazia Rani, Muhammad Naeem Shaikh, Abdulsalam Soomro, Ahmed Elsoul, Ahmed Almokhtar Abdallah, Esraa Ahmed, Maged Ismael and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 1 country.

Muhammad Nauman HashmiHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Hammad RazaHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Muhammad A KhanMedical Education, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Shazia RaniHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Muhammad Naeem ShaikhHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Abdulsalam SoomroHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Ahmed ElsoulHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Ahmed Almokhtar AbdallahHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Esraa AhmedHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Maged IsmaelHemodialysis, Ministry of National Guard Health Affairs, Jeddah, SAU.
Eman AlharbiClinical Dietitian, Ministry of National Guard Health Affairs, Jeddah, SAU.
Fayez HejailiNephrology, King Abdulaziz Medical City, Riyadh, SAU.
King Abdulaziz Medical City · SAKing Abdullah International Medical Research Center · SAKing Saud bin Abdulaziz University for Health Sciences · SANational Guard Health Affairs · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Protein-energy wasting is a prevalent condition in patients with chronic kidney disease. Our goal was to validate the risk assessment tool (Hashmi's tool) in multiple centers, developed in 2018, as it was easily applicable and cost-effective. Methods The following variables were scored as 0, 1, 2, or 3 as per severity: body mass index, HD vintage in years, functional capacity, serum albumin, serum ferritin, and the number of co-morbid conditions (diabetes mellitus, hypertension, ischemic heart disease, and cerebrovascular disease). This scoring system was applied to maintenance hemodialysis patients in six different centers. The patient's record was evaluated for two years. Patients were divided into low-risk (score <6) and high-risk (score ≥6). We compared the two groups using the chi-square test for the difference in hospitalization and mortality. Results A total of 868 patients' records were analyzed, and the maximum score was 13 with the application of Hashmi's tool. Four hundred twenty-nine patients were in the low-risk group, and 439 patients fell into the high-risk group. Four hundred sixty-seven patients were male, and 401 were females; 84% had hypertension, and 54% had diabetes mellitus. In the high-risk group, we identified more females. Patients' likelihood of being in the high-risk group was higher if they had diabetes mellitus, hypertension, or ischemic heart disease. Hospitalization due to vascular or non-vascular etiologies was more common in the high-risk group (p=0.036 and p<0.001, respectively). A total of 123 patients died during the study period, 92 from the high-risk group as compared to 31 from the low-risk group. This was three times higher and statistically significant (p<0.001). Conclusion Using a simple and cost-effective tool, we have identified malnourished patients who are at risk of hospitalization and mortality. This study has validated the previous work at a single center, which has now been reflected in six dialysis units across Saudi Arabia.

Indexed as

hemodialysishospitalizationmalnutritionmortalityprotein energy wasting (pew)risk assessment tool

Identifiers

PMID38299137
PMCPMC10828751
OpenAlexW4390476883

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.