Evidence map›Paper›PMID 36479045›Full record

ArticleJournal of pregnancy2022

Clinical Presentation as a Predictor of the Response to Methotrexate Therapy in Patients with Ectopic Pregnancy.

Sarah Almutairy, Lateefa Othman Aldakhil

Open access · goldAbstract read
In one paragraph

Article in Journal of pregnancy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Sarah AlmutairyCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Lateefa Othman AldakhilOB/Gyn Department King Khalid Hospital, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-8339-7469
King Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Ectopic pregnancy can be fatal if not diagnosed and timely treated. There is an increase in ectopic pregnancy rate which attributes in part to fertility medications and procedures and early diagnosis. Methotrexate, a folic acid antagonist, is widely used in the medical treatment of ectopic pregnancy. Many studies examined the safety and success rate of methotrexate looking into factors affecting the success rate, if the patient may present with symptoms such as abdominal pain, and some consider this as impeding rupture and it might affect the success of medical treatment. This study evaluates the success rate of methotrexate treatment outcomes in regard to presentation and looks into other factors that can help choosing a single or multiple dose modality. Methods: This is a retrospective review of 154 cases of ectopic pregnancy treated with methotrexate from January 2011 to December 2020 at King Khalid University Hospital (KKUH). Demographic data, clinical presentation, treatment progress, and outcome and failure rate were collected and analyzed. Student's Results: 154 patients were treated with MTX; of those patients, 25 received more than one dose. The difference between the responses to MTX treatment in symptomatic and asymptomatic individuals was not significant ( Conclusion: MTX treatment can be used to manage symptomatic patients with ectopic pregnancy. The success rate in symptomatic patients is not different from that in asymptomatic patients.

Indexed as

MethotrexatePregnancy, EctopicFemaleHumansPregnancyMethotrexate

Identifiers

PMID36479045
PMCPMC9722302
OpenAlexW4310182846

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.