Evidence map›Paper›PMID 36834403›Full record

ArticleInternational journal of environmental research and public health2023

Characterization of Three Types of Recycled Aggregates from Different Construction and Demolition Waste: An Experimental Study for Waste Management.

Pablo Saiz Martínez, Daniel Ferrández, Alberto Melane-Lavado, Alicia Zaragoza-Benzal

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

4 authors.

Pablo Saiz MartínezDepartment of Financial Economics, Accounting and Modern Language, Rey Juan Carlos University, Paseo de los Artilleros, s/n, 28032 Madrid, Spain.ORCID 0000-0001-8106-0432
Daniel FerrándezDepartment of Financial Economics, Accounting and Modern Language, Rey Juan Carlos University, Paseo de los Artilleros, s/n, 28032 Madrid, Spain.
Alberto Melane-LavadoDepartment of Financial Economics, Accounting and Modern Language, Rey Juan Carlos University, Paseo de los Artilleros, s/n, 28032 Madrid, Spain.ORCID 0000-0003-0587-472X
Alicia Zaragoza-BenzalDepartamento de Tecnología de la Edificación, Universidad Politécnica de Madrid, Avenida Juan de Herrera 6, 28040 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving sustainable management and efficient use of natural resources stands out as one of the goals included in the Goals for Sustainable Development in the 2030 Agenda. The construction sector is currently far from presenting an efficient model in terms of treating waste generated by it. Variations in the physical and chemical properties of recycled aggregates coming from construction and demolition waste are one of the main reasons of their limited use in the production of construction materials. This research presents a physicochemical characterization of three different types of recycled aggregates coming from different types of waste: concrete, ceramic and mixed. Physical characterization shows that recycled concrete aggregate has better physical properties compared with mixed recycled aggregate and ceramic recycled aggregate, which makes it more suitable for use in masonry mortars and concrete, due to its higher dry density (2210.33 kg/m

Indexed as

Industrial WasteWaste ManagementConstruction MaterialsNatural ResourcesRecyclingIndustrial Wasteconstruction and demolition waste (CDW)homogeneityphysicochemical characterizationrecycled aggregates

Identifiers

PMID36834403
PMCPMC9963922

What OpenQuestion holds

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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.