Evidence map›Paper›PMID 38380635›Full record

ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2025

Thermoactivated cement from construction and demolition waste for pavement base stabilization: A case study in Brazil.

Valdir M Pereira, Raphael Baldusco, Patricia B Silva, Valdecir A Quarcioni, Rosângela S Motta, Seiiti Suzuki, Sergio C Angulo

Abstract read
In one paragraph

Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2025. 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

7 authors.

Valdir M PereiraNational Institute on Advanced Eco-Efficient Cement-Based Technologies, Brazil. Escola Politecnica, University of São Paulo, São Paulo, Brazil.
Raphael BalduscoInstitute for Technological Research, São Paulo, Brazil.
Patricia B SilvaMackenzie Presbyterian University, São Paulo, Brazil.
Valdecir A QuarcioniInstitute for Technological Research, São Paulo, Brazil.
Rosângela S MottaDepartment of Transportation Engineering, Escola Politecnica, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-6005-8285
Seiiti SuzukiInterCement, São Paulo, Brazil.
Sergio C AnguloNational Institute on Advanced Eco-Efficient Cement-Based Technologies, Brazil. Escola Politecnica, University of São Paulo, São Paulo, Brazil.ORCID 0000-0001-9700-1621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Construction and demolition waste (CDW) worldwide generation accounts 10 billion tonnes yearly. The major fraction is landfilled requiring innovative recycling methods to reduce the associated environmental impacts and to increase its circularity. Our study demonstrated the feasibility of using different CDW fines to develop recycled cements and optimized the content of CDW recycled cements with well-graded crushed stone (WGCS) for use as pavement base layer. We scaled up the study obtaining CDW cement and aggregates from a local recycling plant, as well as pilot pavement sections designed, constructed and field deflections measured. As results, the CDW cement pastes exhibited accumulated heat values of up to 111 J g

Indexed as

Construction MaterialsRecyclingBrazilCompressive StrengthHot TemperatureIndustrial WasteWaste ManagementIndustrial WasteConstruction and demolition wastefinespavement baserecycled cement

Identifiers

PMID38380635
PMCPMC11689967

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.