Evidence map›Paper›PMID 39101038›Full record

ArticleFrontiers in microbiology2024

Composition of the microbial community in surface flow-constructed wetlands for wastewater treatment.

Haider Ali, Yongen Min, Xiaofei Yu, Yahya Kooch, Phyoe Marnn, Sarfraz Ahmed

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2024. 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
–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

3 citing papers in PubMed.

  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.

Haider AliEngineering Research Center of Low-Carbon Treatment and Green Development of Polluted Water in Northeast China, Ministry of Education and State Environmental Protection Key Laboratory For Wetland Conservation and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, China.
Yongen MinEngineering Research Center of Low-Carbon Treatment and Green Development of Polluted Water in Northeast China, Ministry of Education and State Environmental Protection Key Laboratory For Wetland Conservation and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, China.
Xiaofei YuEngineering Research Center of Low-Carbon Treatment and Green Development of Polluted Water in Northeast China, Ministry of Education and State Environmental Protection Key Laboratory For Wetland Conservation and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, China.
Yahya KoochFaculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran.
Phyoe MarnnEngineering Research Center of Low-Carbon Treatment and Green Development of Polluted Water in Northeast China, Ministry of Education and State Environmental Protection Key Laboratory For Wetland Conservation and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, China.
Sarfraz AhmedSchool of Life Sciences, Northeast Normal University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally constructed wetlands face significant limitations in treating tailwater from wastewater treatment plants, especially those associated with sugar mills. However, the advent of novel modified surface flow constructed wetlands offer a promising solution. This study aimed to assess the microbial community composition and compare the efficiencies of contaminant removal across different treatment wetlands: CW1 (Brick rubble, lignite, and

Indexed as

constructed wetlandcrushed brickslignitemicrobial communitypollutant removal

Identifiers

PMID39101038
PMCPMC11296210

What OpenQuestion holds

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LicenceCC BY
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.