Evidence map›Paper›PMID 38213797›Full record

ReviewAnnals of translational medicine2023

Alkaline phosphatase and mortality in stroke patients: a systematic review.

Carlota Santos Pinto, Francisca Ferreira, Inês Margarido, Ana Lídia Neves, José Pedro L Nunes

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Carlota Santos PintoFaculty of Medicine, University of Porto, Porto, Portugal.
Francisca FerreiraFaculty of Medicine, University of Porto, Porto, Portugal.
Inês MargaridoFaculty of Medicine, University of Porto, Porto, Portugal.
Ana Lídia NevesFaculty of Medicine, University of Porto, Porto, Portugal.
José Pedro L NunesFaculty of Medicine, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increased plasma levels of alkaline phosphatase (ALP) have been associated to a worse prognosis in several types of diseases. In the present review, the authors aimed to study the relationship between plasma levels of ALP and overall mortality in patients with stroke. Methods: A systematic review was carried out, searching two databases: Web of Science and Medline/PubMed. Results: A total of nine studies that included data on overall mortality in stroke patients were selected. The selected studies were published between 2010 and 2022 and were predominantly from Asia. The articles reviewed quantified ALP levels through different methods: highest versus lowest quintiles of plasma ALP (three reports); highest versus lowest quartiles of plasma ALP (four reports); and plasma ALP levels in deceased versus in surviving patients (two reports). All selected studies showed an increased mortality associated to elevated ALP levels, irrespective of stroke type and length of follow-up, from a mean of 10 days to 2.5 years. The studies comparing the highest to the lowest ALP quintiles showed an aggregate value of 1.8 times greater risk of mortality for the former, when compared to the latter. Whereas, the studies comparing the highest to the lowest ALP quartiles showed an aggregate value of 2.4 times greater risk of mortality for the former, when compared to the latter. Conclusions: Elevated ALP levels are associated with increased mortality in stroke patients and provide cost effective prognostic indicators of mortality in stroke.

Indexed as

Alkaline phosphatase (ALP)mortalitystrokesystematic review

Identifiers

PMID38213797
PMCPMC10777210

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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.