Evidence map›Paper›PMID 22900495›Full record

ArticleBMC cancer2012

Interstitial magnetic resonance lymphography is an effective diagnostic tool for the detection of lymph node metastases in patients with cervical cancer.

Ying Hong, Luojun Xiang, Yali Hu, Zhengyang Zhou, Haiping Yu, Bing Zhu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
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 at 2 institutions in 1 country.

Ying HongNanjing Drum Tower Hospital, Nanjing Medical University, Nanjing 210008, China. hongyingwjm@sina.com
Luojun Xiang
Yali Hu
Zhengyang Zhou
Haiping Yu
Bing Zhu
Nanjing Drum Tower Hospital · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the present study was to determine the feasibility of detecting sentinel lymph node (SLN) metastases using interstitial magnetic resonance (MR) lymphography in patients with cervical cancer. MR data were compared to pathological results from the lymph nodes excised during surgery.

methodsTwenty-eight patients with cervical cancer were enrolled and studied from January 2006 to December 2010. All patients underwent interstitial MR lymphography to determine the presence of sentinel lymph nodes and visualize lymphatic vessel drainage in the pelvis. Radical hysterectomy and excision of pelvic lymph nodes was performed according to their lesion grade. Gadodiamide was injected either intradermally into the bipedal toe web, into the labia majora or into the cervical tissue. MR results were compared with pathological reports.

resultsIn 28 patients, lymphatic vessel drainage and lymph node groups were clearly visualized. Of these, 5 were MR lymphography positive and 23 were MR lymphography negative. Six had pathologically proven metastasis, five had true positives and 1 had a false negative in the obturator lymph node.

conclusionsInterstitial MR lymphography can be used to determine the extent and shape of pelvic lymphatic vessel drainage and lymph node metastases in patients with cervical cancer.

Indexed as

AdultAgedContrast MediaFemaleGadolinium DTPAHumansLymphatic MetastasisLymph NodesLymphographyMagnetic Resonance ImagingMiddle AgedSentinel Lymph Node BiopsyUterine Cervical NeoplasmsContrast MediagadodiamideGadolinium DTPA

Identifiers

PMID22900495
PMCPMC3492153
OpenAlexW2120061580

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.