Evidence map›Paper›PMID 36268387›Full record

ReviewAnnals of medicine and surgery (2012)2022

Water sanitation problem in Pakistan: A review on disease prevalence, strategies for treatment and prevention.

Khulud Qamar, Goodluck Nchasi, Hania Tul Mirha, Javeria Arif Siddiqui, Kainat Jahangir, Sean Kaisser Shaeen, Zarmina Islam, Mohammad Yasir Essar

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

5 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Frontiers in molecular biosciences · 2023
    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

8 authors at 5 institutions in 3 countries.

Khulud QamarFaculty of Medicine, Dow University of Health Sciences, Pakistan.
Goodluck NchasiCatholic University of Health and Allied Sciences, Tanzania.
Hania Tul MirhaCMH Lahore Medical College, Lahore, Pakistan.
Javeria Arif SiddiquiFaculty of Medicine, Sindh Medical College, Jinnah Sindh Medical University, Pakistan.
Kainat JahangirFaculty of Medicine, Dow University of Health Sciences, Pakistan.
Sean Kaisser ShaeenFaculty of Medicine, Dow University of Health Sciences, Pakistan.
Zarmina IslamFaculty of Medicine, Dow University of Health Sciences, Pakistan.
Mohammad Yasir EssarKabul University of Medical Sciences, Kabul, Afghanistan.
Dow University of Health Sciences · PKCatholic University of Health and Allied Sciences · TZCMH Lahore Medical College and Institute of Dentistry · PKJinnah Sindh Medical University · PKKabul University · AF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global water crisis is expected to worsen if urgent action is not taken in making sustainable amends. This applies to Pakistan as the entire country suffers massively from poor water sanitation. Waterborne diseases are rising exponentially attributed to rise in microbial infestations, trace elements and drug toxicity in many water bodies of Pakistan. Treatment and prevention strategies must be implemented through national authorities and at the individual level. Awareness on use of clean water must be emphasized and proper administration on water management policies should be implemented. Immediate and active sustainability for water resources can ensure a safer future for Pakistan.

Indexed as

DiseasesPakistanWater crisisWater sanitationWater treatment

Identifiers

PMID36268387
PMCPMC9577838
OpenAlexW4296194845

What OpenQuestion holds

Textmetadata
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.