Evidence map›Paper›PMID 29065869›Full record

ArticleBMC geriatrics2017

Leading Comorbidity associated with 30-day post-anesthetic mortality in geriatric surgical patients in Taiwan: a retrospective study from the health insurance data.

Chun-Lin Chu, Hung-Yi Chiou, Wei-Han Chou, Po-Ya Chang, Yi-You Huang, Huei-Ming Yeh

Abstract read
In one paragraph

Article in BMC geriatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Big data in anaesthesia: a narrative, nonsystematic review.European journal of anaesthesiology and intensive care · 2023
    Article
  6. Article
  7. Article
  8. A systematic review and meta-analysis of anesthesia type on hip fracture post-surgery outcomes.OTA international : the open access journal of orthopaedic trauma · 2022
    Article
  9. Utility of Frailty Screening Tools in Older Surgical Patients.Annals of geriatric medicine and research · 2020
    Review
  10. Anesthetic management of geriatric patients.Korean journal of anesthesiology · 2020
    Review
  11. 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.

Chun-Lin ChuInstitute of Biomedical Engineering National Taiwan University, No1, Sec 1, Jen-Ai Rd., Taipei, Taiwan.
Hung-Yi ChiouSchool of Public Health, Taipei Medical University, No 250, Wu-Shin Street, Taipei, Taiwan.
Wei-Han ChouDepartment of Anesthesiology, National Taiwan University Hospital, No 7 Chung-Shan South Road, Taipei, Taiwan, Republic of China.
Po-Ya ChangSchool of Public Health, Taipei Medical University, No 250, Wu-Shin Street, Taipei, Taiwan.
Yi-You HuangInstitute of Biomedical Engineering National Taiwan University, No1, Sec 1, Jen-Ai Rd., Taipei, Taiwan.
Huei-Ming YehDepartment of Anesthesiology, National Taiwan University Hospital, No 7 Chung-Shan South Road, Taipei, Taiwan, Republic of China. y.y.hhmm@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElderly patients with aged physical status and increased underlying disease suffered from more postoperative complication and mortality. We design this retrospective cohort study to investigate the relationship between existing comorbidity of elder patients and 30 day post-anesthetic mortality by using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) from Health Insurance Database.

methodsPatients aged above 65 years old who received anesthesia between 2000 and 2010 were included from 1 million Longitudinal Health Insurance Database in (LHID) 2005 in Taiwan. We use age, sex, type of surgery to calculate propensity score and match death group and survival one with 1:4 ratio (death: survival = 1401: 5823). Multivariate logistic model with stepwise variable selection was employed to investigate the factors affecting death 30 days after anesthesia.

resultsThirty seven comorbidities can independently predict the post-anesthetic mortality. In our study, the leading comorbidities predict post-anesthetic mortality is chronic renal disease (OR = 2.806), acute myocardial infarction (OR = 4.58), and intracranial hemorrhage (OR = 3.758).

conclusionsIn this study, we present the leading comorbidity contributing to the postoperative mortality in elderly patients in Taiwan from National Health Insurance Database. Chronic renal failure is the leading contributing comorbidity of 30 days mortality after anesthesia in Taiwan which can be explained by the great number of hemodialysis and prolong life span under National Taiwan Health Insurance. Large scale database can offer enormous information which can help to improve quality of medical care.

Indexed as

Geriatric AssessmentAgedAged, 80 and overAnestheticsComorbidityDatabases, FactualFemaleHumansInsurance Claim ReviewInsurance, HealthInternational Classification of DiseasesIntracranial HemorrhagesKidney Failure, ChronicLogistic ModelsMaleMyocardial InfarctionAnestheticsComorbidityPost-anesthesia mortality

Identifiers

PMID29065869
PMCPMC5654003

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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.