Evidence map›Paper›PMID 36420088›Full record

ArticleGeriatric orthopaedic surgery & rehabilitation2022

Perioperative Management and Outcomes of Hip Fracture Patients with Advanced Chronic Kidney Disease.

Chris Ongzalima, Kimberly Dasborough, Siddarth Narula, Glenn Boardman, Panchi Kumarasinghe, Hannah Seymour

Open access · goldAbstract read
In one paragraph

Article in Geriatric orthopaedic surgery & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Chris OngzalimaFiona Stanley Hospital, Murdoch, WA, Australia.ORCID https://orcid.org/0000-0001-8565-6989
Kimberly DasboroughFiona Stanley Hospital, Murdoch, WA, Australia.
Siddarth NarulaFiona Stanley Hospital, Murdoch, WA, Australia.
Glenn BoardmanFiona Stanley Hospital, Murdoch, WA, Australia.
Panchi KumarasingheFiona Stanley Hospital, Murdoch, WA, Australia.
Hannah SeymourFiona Stanley Hospital, Murdoch, WA, Australia.
Fiona Stanley Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To explore clinical characteristics, perioperative management and outcomes of Hip Fracture patients with advanced Chronic Kidney Disease (HF-aCKD) compared to the general Hip Fracture population without aCKD (HF-G) within a large volume tertiary hospital in Western Australia. Methods: Retrospective chart review of patients admitted with hip fracture (HF) to a single large volume tertiary hospital registered on Australian and New Zealand Hip Fracture Registry (ANZHFR). We compared baseline demographic and clinical frailty scale (CFS) of HF-aCKD (n = 74), defined as eGFR < 30 mls/min/1.73 m Results: We identified 74 (6.97%) HF patients with aCKD. General demographics were similar in HF-aCKD and HF-G populations. 120-days mortality for HF-aCKD was double that of HF-G population (34% vs 17%, Conclusions: 120-days mortality was double in HF-aCKD and triple in HF-dialysis that of the HF-G within our institution. Clinical frailty scale can be useful in predicting mortality after HF in frail aCKD patients. High rate of blood transfusions was observed in HF-aCKD group. Further studies with larger HF-aCKD numbers are required to explore these associations in detail.

Indexed as

chronic kidney diseasedialysisfrailtyhip fractureperi-operative management

Identifiers

PMID36420088
PMCPMC9677301
OpenAlexW4310333712

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.