Evidence map›Paper›PMID 34992438›Full record

ArticleInternational journal of general medicine2021

Does Red Cell Distribution Width Predict Hip Fracture Mortality Among the Arab Population? A Single-Center Retrospective Cohort Study.

Mohammad Hamdan, Bassem I Haddad, Mohammad Jabaiti, Saif Aldeen Alryalat, Ahmed A Abdulelah, Shahed H Alabed, Tamadur F Alabdullah, Alia N Aouant, Haneen E Shahein, Hadeel I Dweik and 2 more

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In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Red cell distribution width and modified 5-item frailty index to predict short-term mortality in patients undergoing surgery for hip fracture.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
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  6. A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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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

12 authors.

Mohammad HamdanDepartment of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan.ORCID 0000-0003-2382-5585
Bassem I HaddadDepartment of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan.ORCID 0000-0001-7246-2384
Mohammad JabaitiDepartment of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan.
Saif Aldeen AlryalatDepartment of Special Surgery, Division of Ophthalmology, School of Medicine, The University of Jordan, Amman, Jordan.ORCID 0000-0001-5588-9458
Ahmed A AbdulelahSchool of Medicine, The University of Jordan, Amman, Jordan.
Shahed H AlabedSchool of Medicine, The University of Jordan, Amman, Jordan.
Tamadur F AlabdullahSchool of Medicine, The University of Jordan, Amman, Jordan.
Alia N AouantSchool of Medicine, The University of Jordan, Amman, Jordan.
Haneen E ShaheinSchool of Medicine, The University of Jordan, Amman, Jordan.
Hadeel I DweikSchool of Medicine, The University of Jordan, Amman, Jordan.
Khaled MatarSchool of Medicine, American University of the Caribbean, Cupecoy, Sint Maarten.
Mohammed S AlisiDepartment of Special Surgery, Division of Orthopaedics, School of Medicine, The University of Jordan, Amman, Jordan.ORCID 0000-0003-3694-2801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHip fractures impose significant morbidity and mortality. Red cell distribution width (RDW) appears to be an emerging tool in predicting mortality following hip fractures. Several factors can influence the RDW value including genetic factors and ethnicity. The purpose of the study was to assess the relation between RDW level at admission and hip fracture mortality within 6 months among Arab/Middle East populations.

methodsWe conducted a single-center retrospective cohort study including 549 patients (274 female and 275 male) diagnosed with a hip fracture undergoing surgery from February 2016 to December 2019. All included patients shared the same country of origin which is Arab Middle East country. Statistical analysis, including binary regression, was performed to assess the relationship between RDW and mortality within 6 months of admission. Other predictors of mortality following hip fracture surgery were also assessed.

resultsThe mean age was 76.42 (±9.19) years. Seventy (12.8%) of participants died within 6 months. No statistically significant association (P=0.053) between RDW level at admission and mortality within 6 months of surgery was found. Binary regression demonstrated that the only independent predictors of mortality were age (P= 0.003, odds ratio 1.048 with 95% CI 1.016 to 1.080) and male gender (P= 0.021, odds ratio 1.872 with 95% CI 1.100 to 3.185).

conclusionAlthough the previous studies reported that RDW is one of the predictors of mortality in hip fracture patients, our study found no relation in the Arab population. This finding may confirm the influence of genetic factors and ethnicity on RDW value. We recommend further large-scale multicenter studies to solidly establish the relationship between RDW and hip fracture mortality among the Arab/Middle East population.

Indexed as

Arabhip fracturemortalityRDWred cell distribution width

Identifiers

PMID34992438
PMCPMC8710672

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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.