Evidence map›Paper›PMID 41189570›Full record

ArticlePeerJ2025

Physiochemical screening of road avenue plants in better landscape management of highly polluted urbanized city (Lahore), Pakistan.

Bushra Munam, Sohaib Muhammad, Muhammad Tayyab, Hafiza Komal Hanif, Mahrukh Majeed, Hassan Nawaz, Muhammad Jawad Tariq Khan, Summiya Faisal, Muhammad Hasnain, Sarah Maryam Malik and 2 more

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Bushra MunamDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Sohaib MuhammadDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Muhammad TayyabDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Hafiza Komal HanifDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Mahrukh MajeedDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Hassan NawazDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Muhammad Jawad Tariq KhanDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Summiya FaisalDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Muhammad HasnainDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Sarah Maryam MalikDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Muhammad BilalDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.
Muhammad ZahidDepartment of Botany, Government College University Lahore, Lahore, Punjab, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lahore has been consistently ranked as the world's most polluted city. Because of combative ideas to construct highways, underpasses and flyovers, Lahore had lost a remarkable percentage of its tree cover over the past 15 years. The present study focuses on the outcomes of rapidly increasing air pollution on roadside vegetation. In current study, species such as

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringPlantsTreesCitiesPakistanAir PollutantsChlorophyll contentGreen beltPhotosynthetic ratePhysiochemical attributesPollutionPollution mitigationRoad avenue plantsStomatal conductanceTranspiration rateUrbanized city

Identifiers

PMID41189570
PMCPMC12581913

What OpenQuestion holds

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LicenceCC BY
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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.